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- |Title=ICSLT--Ei 2018 : 2018 International Conference on e-Society, e-Learning and e-Technologies (ICSLT 2018)--Ei Compendex, Scopus 2018 International Conference on e-Society, e-Learning and e-Technologies (ICSLT2 KB (209 words) - 13:23, 28 July 2017
- 23 bytes (2 words) - 11:52, 8 August 2017
- 24 bytes (2 words) - 12:37, 3 September 2017
- 23 bytes (3 words) - 12:12, 3 September 2017
- 29 bytes (3 words) - 10:32, 3 September 2017
- 29 bytes (3 words) - 11:59, 3 September 2017
- 29 bytes (3 words) - 12:06, 3 September 2017
- 24 bytes (2 words) - 12:33, 3 September 2017
- 25 bytes (2 words) - 12:32, 3 September 2017
- |Title=Learning Lab Lower Saxony |Field=Web Science, Artificial intelligence, Machine Learning, Semantic Web1 KB (191 words) - 12:45, 10 July 2019
- |Title=Montreal Institute for Learning Algorithms |Field=Deep Learning1 KB (192 words) - 11:10, 6 September 2019
- |Title=SIGNLL Special Interest Group on Natural Language Learning of the ACL ...LL (pronounce as signal) is the Special Interest Group on Natural Language Learning of the [[Association for Computational Linguistics]] (ACL)295 bytes (41 words) - 13:26, 10 June 2020
- 26 bytes (3 words) - 20:19, 12 November 2020
Page text matches
- * E-Learning and Web-enterprise training7 KB (763 words) - 12:25, 6 October 2011
- |Title=Sixth International Conference on Learning Representations |Field=machine learning, deep learning, learning679 bytes (83 words) - 18:18, 12 February 2020
- ..., geospatial, space/; XML-data and process /data warehouse, workflow, web, learning, control/;11 KB (1,371 words) - 12:28, 18 May 2020
- * [[Organizes::E-Learning 2.0 - DELFI 2008]]1 KB (163 words) - 12:11, 24 September 2008
- ** Learning, knowledge sharing, collaboration, control or conflict in F/OSS projects ** Knowledge management, e-learning and F/OSS10 KB (1,349 words) - 16:42, 24 September 2008
- * E-Learning, E-Commerce, E-Society, etc.34 KB (4,565 words) - 22:20, 10 January 2018
- * E-Learning, E-Commerce, E-Society, etc.8 KB (1,037 words) - 22:20, 10 January 2018
- * E-Learning, E-Commerce, E-Society, etc.9 KB (1,189 words) - 22:20, 10 January 2018
- * E-Learning, E-Commerce, E-Society, etc.26 KB (3,456 words) - 22:20, 10 January 2018
- * Distance Learning Systems10 KB (1,263 words) - 22:20, 10 January 2018
- * Distance Learning Systems12 KB (1,537 words) - 22:19, 10 January 2018
- ...* CKME09 - 2nd Workshop on the Convergence of Knowledge Management and E-Learning1 KB (158 words) - 13:01, 2 March 2012
- * Distance Learning Systems8 KB (1,040 words) - 22:20, 10 January 2018
- |Title=25th International Conference On Machine Learning |Field=Machine learning5 KB (573 words) - 17:33, 26 September 2016
- |Title=International Conference on Machine Learning |Field=Machine learning295 bytes (40 words) - 09:18, 26 February 2020
- |Title=26th International Conference On Machine Learning |Field=Machine learning5 KB (679 words) - 08:09, 11 July 2019
- | Title = Workshop on Semi-supervised Learning for Natural Language Processing at NAACL HLT 2009 | Field = Machine learning7 KB (961 words) - 05:50, 14 October 2008
- ...vestigation of technological and methodological issues related not only to learning and play, but also to social awareness of young people in relationship to e5 KB (631 words) - 05:50, 14 October 2008
- [[Category:Machine learning]]2 KB (251 words) - 22:20, 14 October 2008
- | Acronym = IADIS e-Learning 2009 | Title = IADIS International Conference e-Learning 20094 KB (477 words) - 17:18, 14 October 2008
- * Computational Intelligence/Learning3 KB (427 words) - 16:42, 14 October 2008
- ...ation, learning, and programming: Bayesian techniques, modeling, imitation learning, programming by demonstration.3 KB (459 words) - 17:26, 14 October 2008
- * Learning mechanisms in games6 KB (722 words) - 17:32, 14 October 2008
- ...e vision, active vision, spatial reasoning, 2D and 3D modeling, perceptual learning.2 KB (268 words) - 17:47, 14 October 2008
- IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009)3 KB (376 words) - 17:47, 14 October 2008
- ...ms: ReinforcementLearning, BayesianTechniques, Graphical Models, Imitation Learning, Programming by Demonstration, Diagnostics2 KB (227 words) - 16:21, 28 June 2009
- approaches, collocational corpus analysis and machine learning; researchers understanding/summarization and ontology learning.6 KB (857 words) - 04:56, 15 September 2009
- This workshop is focused on the relevance of computational learning fields of NLP, machine learning, artificial intelligence,7 KB (888 words) - 21:58, 14 October 2008
- | Title = NIPS Workshop on Learning over Empirical Hypothesis Spaces | Field = Machine learning3 KB (477 words) - 21:46, 14 October 2008
- * Learning through Persuasion * Education & Learning8 KB (989 words) - 20:13, 22 February 2009
- |Title=IADIS International Conference Mobile Learning 2009 ...ed Content & Mobile Technologies: From Consumers to Creators bypassing the Learning opportunity?5 KB (695 words) - 15:31, 16 February 2009
- • Machine learning for communication systems6 KB (731 words) - 10:33, 14 August 2023
- ...dio networks: low power signal processing methods, applications of machine learning Streaming video: learning from video, techniques for in-network modulation11 KB (1,385 words) - 17:48, 14 October 2008
- * e-Learning, e-Commerce and e-Society Applications8 KB (1,026 words) - 17:48, 14 October 2008
- | Title = Optimization for Machine Learning (NIPS Workshop 2008) | Field = Machine learning2 KB (214 words) - 21:28, 14 October 2008
- ...l be achieved within the chosen time period and the indication of the main learning outcomes. Proposals should also include contact information (name, email, a11 KB (1,527 words) - 10:03, 19 February 2021
- ...cs, randomness in computing, parallel and distributed computation, machine learning, applications of logic, algorithmic algebra and coding theory, computationa6 KB (869 words) - 20:22, 22 February 2009
- * Machine Learning for NLP3 KB (368 words) - 02:02, 12 September 2019
- * Computational mechanisms of learning and memory; * Learning mechanisms (e.g., stability, personalized user/student models);6 KB (692 words) - 23:59, 30 May 2016
- [[Category:Computer-based learning]]359 bytes (38 words) - 00:55, 2 February 2009
- ...onal linguistics, as well as computational linguists who are interested in learning about the particular linguistic challenges posed by African languages. ...information extraction, information retrieval, computer-assisted language learning and question answering.6 KB (852 words) - 21:56, 14 October 2008
- * Pervasive Learning, Games, Entertainment7 KB (942 words) - 20:05, 14 October 2008
- | Title = The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | Field = Machine learning1 KB (142 words) - 11:39, 17 October 2008
- * Distance learning/training related to design5 KB (674 words) - 20:05, 14 October 2008
- education and learning systems, assistive technologies, digital entertainment) - Statistical and machine learning techniques for language processing4 KB (570 words) - 14:02, 4 June 2020
- There has been growing interest over the last few years in learning text). The family of techniques enabling such learning is usually6 KB (796 words) - 21:57, 14 October 2008
- * Adapting existing NLP tools to the CH and SHE domains: machine learning and semantic web technologies7 KB (931 words) - 21:55, 14 October 2008
- * Relevance feedback and learning systems2 KB (295 words) - 07:56, 14 April 2011
- ...s, collaboration, networking) that allow the individual for organizing her learning in a very personal way. They offer a construction set of small services to ...ment of service-oriented approaches to supporting knowledge management and learning together to go one step further beyond the enthusiasm about Knowledge Manag7 KB (872 words) - 20:05, 14 October 2008
- ...val systems, geographic information systems, knowledge management systems, learning systems, multicriteria systems. ...e interfaces, collaborative systems, intelligent web mining, e-commerce, e-learning, e-business, bioinformatics, evolvable systems, virtual humans, designer dr3 KB (433 words) - 20:05, 14 October 2008
- # Semantic Web for e-business, e-science, e-government, and e-learning # Machine learning and human language technologies for the Semantic Web4 KB (450 words) - 20:05, 14 October 2008
- * Computational Learning Theory * Machine Learning and Data Mining2 KB (216 words) - 20:05, 14 October 2008
- • E-learning, Multimedia conferencing, internet phones, and mail5 KB (530 words) - 10:27, 24 June 2011
- * Machine Learning8 KB (1,068 words) - 21:43, 26 February 2011
- - Collaborative Learning - Virtual Learning Environments and Issues6 KB (780 words) - 20:06, 14 October 2008
- Learning and Adaptive Sensor Fusion Machine Learning3 KB (359 words) - 20:06, 14 October 2008
- | Field = Machine learning ...des, but is not limited to, fundamental issues, representation, inference, learning, and decision making in qualitative and numeric paradigms.3 KB (321 words) - 20:06, 14 October 2008
- - graph based learning, - graph learning and clustering,3 KB (344 words) - 00:44, 15 October 2008
- | Title = First International Conference on e-Learning and Distance Learning459 bytes (48 words) - 21:09, 14 October 2008
- Machine Learning6 KB (708 words) - 22:49, 14 October 2008
- Robot-team learning3 KB (379 words) - 22:42, 4 February 2009
- * Relevance feedback and active learning approaches for5 KB (575 words) - 22:45, 14 October 2008
- * Collaborative e-education, e-learning, and collaborative computing in large scale digital libraries6 KB (674 words) - 22:45, 14 October 2008
- ...ty, for entertainment and/or to socialize, and those seniors users who are learning the new technologies to improve their quality of life.3 KB (502 words) - 22:53, 14 October 2008
- * AI & machine learning algorithms3 KB (312 words) - 22:53, 14 October 2008
- ...certain patterns are difficult or impossible to acquire even from perfect learning data;4 KB (516 words) - 23:00, 14 October 2008
- �?� Cooperative learning,4 KB (468 words) - 22:54, 14 October 2008
- * Learning and training for HCI3 KB (322 words) - 22:41, 4 February 2009
- E-Learning and e-Teaching E-Learning9 KB (1,240 words) - 22:56, 14 October 2008
- | Title = 6th International Conference on Human System Learning | Field = Machine learning3 KB (349 words) - 22:56, 14 October 2008
- Computer-based Learning Support for Creativity and Learning2 KB (304 words) - 22:56, 14 October 2008
- ...008 brings also a suite of specific domain applications, such as gaming, e-learning, social, medicine, teleconferencing and engineering.3 KB (371 words) - 12:58, 7 January 2021
- Robot-team learning2 KB (353 words) - 22:42, 4 February 2009
- - machine learning and algorithms for natural language;6 KB (743 words) - 22:59, 14 October 2008
- ...nguage with non-academic areas, interdisciplinary collaborations, language learning communities, education and language policy, and non-traditional disseminati4 KB (601 words) - 23:00, 14 October 2008
- ...riod of origin (for example statistical and rule-based approaches, machine learning approaches, computer-aided lexicography).6 KB (772 words) - 23:00, 14 October 2008
- ...e Acquisition (e.g. Natural and Instructed L2 Learning, Child and Adult L2 Learning, Problems in Migrant Education) ...anguage Teaching and Teacher Education (e.g. Methodology, Syllabus Design, Learning and Teaching Materials)3 KB (389 words) - 23:00, 14 October 2008
- - machine learning for natural language;8 KB (1,140 words) - 00:14, 28 February 2020
- tools for language learning;5 KB (647 words) - 23:00, 14 October 2008
- ...ference is intended as a venue for exchanging ideas and methodologies, for learning about different perspectives, and most importantly, for stimulating discuss4 KB (570 words) - 23:00, 14 October 2008
- ...tic anthropology, discourse studies, pragmatics, ethnography, and language learning and teaching) are welcome. The main working language of the conference is E2 KB (199 words) - 23:00, 14 October 2008
- * The role of learning in language change * Mathematical and computational models of language learning and evolution5 KB (668 words) - 23:00, 14 October 2008
- * Statistical and machine learning techniques for language processing, including10 KB (1,326 words) - 23:19, 13 December 2017
- | Title = World Englishes and Second Language Teaching and Learning516 bytes (56 words) - 23:01, 14 October 2008
- | Title = 25th Conference of English Teaching and Learning570 bytes (65 words) - 23:01, 14 October 2008
- learning; learner corpora; testing; teacher education;3 KB (410 words) - 23:01, 14 October 2008
- ...scussed: the development of emotion, the effects of fatigue in working and learning, the affective modulation of cognitive processes, as well as the abnormal d4 KB (530 words) - 23:01, 14 October 2008
- - grammatical inference and algorithmic learning6 KB (788 words) - 23:01, 14 October 2008
- ...to support this natural language understanding challenge and on the use of learning methods in this context. RTE has fostered an active and growing community o ...y/subsumption metrics - Tree-based distances and transformations - Machine learning - Logical inference using theorem provers3 KB (476 words) - 23:01, 14 October 2008
- ...ching Japanese as a second/foreign language and computer-assisted language learning (CALL) technology.1 KB (182 words) - 23:01, 14 October 2008
- ...properties of semantic theories, philosophical foundations, evolution and learning of language).''1 KB (143 words) - 19:12, 12 November 2020
- The psycholinguistic and cognitive processes underlying the learning of a practitioners involved in language pedagogy, i.e. Foreign Language Learning9 KB (1,256 words) - 10:56, 20 November 2020
- ...corpora of non-native speech could be used to augment and improve language learning applications in laboratory and commercial environments.2 KB (280 words) - 23:03, 14 October 2008
- Methods can stem from, but are not limited to, the areas of Machine Learning, Statistics, Data Mining, Artificial Intelligence, and (Interactive) Visual [[Category:Machine learning]]2 KB (314 words) - 23:03, 14 October 2008
- -Intelligent Machine Learning ...event.showcfp?eventid=3636&copyownerid=1690 WikiCFP][[Category:Machine learning]]2 KB (231 words) - 23:03, 14 October 2008
- Machine Learning, Knowledge Discovery and Data Mining7 KB (924 words) - 23:03, 14 October 2008
- ...event.showcfp?eventid=3554&copyownerid=1513 WikiCFP][[Category:Machine learning]]7 KB (1,077 words) - 23:03, 14 October 2008
- * Machine learning [[Category:Machine learning]]6 KB (840 words) - 16:42, 27 December 2015
- ...tion, etc.), or describes the integration of AI technologies (e.g. machine learning, logical inference, planning, etc.) into game AI architectures.9 KB (1,275 words) - 14:46, 27 December 2015
- |Field=Machine learning ...cognitive science and cognitive modeling (language, reasoning,perception, learning, consciousness,emotion, etc.)2 KB (199 words) - 18:55, 7 March 2020
- ...event.showcfp?eventid=3668&copyownerid=1513 WikiCFP][[Category:Machine learning]]3 KB (392 words) - 23:07, 14 October 2008
- ...aspects of artificial neural networks, computational intelligence, machine learning and related topics. Each year, around 100 specialists attend ESANN, in orde ...the field. The ESANN conferences cover artificial neural networks, machine learning, statistical information processing and computational intelligence. Mathema4 KB (469 words) - 23:05, 14 October 2008
- * Active learning and experimental design * Cluster analysis and unsupervised learning3 KB (341 words) - 19:39, 26 February 2020
- ...event.showcfp?eventid=3637&copyownerid=1690 WikiCFP][[Category:Machine learning]]569 bytes (70 words) - 11:55, 9 July 2020
- | Title = IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning ...et/event.showcfp?eventid=3357&copyownerid=2 WikiCFP][[Category:Machine learning]]599 bytes (66 words) - 23:03, 14 October 2008
- is devoted to theories, methods and applications of Data Mining, Machine Learning, Knowledge Discovery in Databases, Knowledge2 KB (286 words) - 11:44, 18 October 2008
- | Field = Machine learning641 bytes (70 words) - 23:04, 14 October 2008
- KDD-related areas including data mining, data warehousing, machine learning, databases, A7. Machine Learning2 KB (295 words) - 12:03, 18 October 2008
- - ASP and machine learning.5 KB (645 words) - 23:04, 14 October 2008
- Machine Learning Knowledge management for e-Learning & enterprise portals8 KB (1,111 words) - 23:04, 14 October 2008
- T-2 Machine Learning1 KB (132 words) - 23:04, 14 October 2008
- ...nference will be preceded by two INNS-NNN 2008 Symposia on Development and Learning and Computational neurogenetic modelling (24 and 25th Nov). ...et/event.showcfp?eventid=2384&copyownerid=2 WikiCFP][[Category:Machine learning]]5 KB (699 words) - 23:04, 14 October 2008
- [[Category:Machine learning]]592 bytes (65 words) - 23:04, 14 October 2008
- Knowledge capture through machine learning and knowledge discovery in data bases Inclusive learning2 KB (314 words) - 23:04, 14 October 2008
- Intelligence / Machine Learning �conferences in the following popular5 KB (696 words) - 18:29, 8 November 2008
- ...ing the more traditional areas such as Knowledge Representation, Planning, Learning, Scheduling, Perception and also not so traditional areas such as Reactive - Machine Learning18 KB (2,457 words) - 23:04, 14 October 2008
- * Learning in games ...ative studies (e.g. evolved players versus human-designed players or other learning algorithms)2 KB (260 words) - 23:04, 14 October 2008
- - Learning and Self-Adaptation in Multi-Agent Systems - Reinforcement Learning12 KB (1,601 words) - 23:04, 14 October 2008
- ** Machine Learning and relevance feedback for finding semantics ** Inference and machine learning for semi-automatic annotation4 KB (490 words) - 16:48, 15 October 2008
- ...nd IEEE International Conference on Digital Game and Intelligent Toy Based Learning591 bytes (67 words) - 23:04, 14 October 2008
- * Machine learning and data mining2 KB (262 words) - 23:04, 14 October 2008
- ** Machine learning and information extraction for the Semantic Web6 KB (854 words) - 12:05, 28 May 2016
- ..., and hidden information. New ideas in fields such as planning, search and learning can be developed and tested using a game environment as a testbed. ...ls such as navigating on a map, acting according to a meaningful plan, and learning from previous experience, which need to be implemented using AI algorithms.5 KB (713 words) - 23:04, 14 October 2008
- - Machine learning - Semantic web for e-business and e-learning6 KB (827 words) - 23:04, 14 October 2008
- KR and Machine learning, Inductive logic programming, Knowledge discovery and acquisition3 KB (430 words) - 16:44, 4 November 2016
- | Field = Machine learning ...t report on theoretical or methodological advances in modeling, inference, learning and decision making under uncertainty. Submissions reporting on novel and i4 KB (590 words) - 23:05, 14 October 2008
- |Field=Computational Learning Theory247 bytes (28 words) - 14:03, 6 October 2016
- |Field=Computational Learning Theory236 bytes (30 words) - 14:03, 6 October 2016
- * Learning and adaptive sensor fusion * Machine learning3 KB (346 words) - 23:05, 14 October 2008
- Supervised and unsupervised learning. Combinations of supervised and unsupervised learning.4 KB (572 words) - 23:05, 14 October 2008
- * Learning and adaptivity4 KB (536 words) - 17:55, 10 February 2021
- * Computational learning and complexity5 KB (619 words) - 18:06, 10 February 2021
- ...e and cooperative processes. The dynamics of cognitive processes and cross-learning are of much interest, especially when decision makers are associated with d * context awareness and the effects on learning, reasoning and decision making in both humans and software agents,4 KB (518 words) - 14:42, 27 December 2015
- Statistical Methods and Learning [[Category:Machine learning]]3 KB (339 words) - 13:28, 16 November 2020
- Machine learning in control applications Hybrid learning systems5 KB (634 words) - 23:05, 14 October 2008
- Learning1 KB (139 words) - 23:05, 14 October 2008
- Machine Learning and Data Mining in Bioinformatics).4 KB (563 words) - 12:00, 9 July 2020
- Learning - learning (single and multi-agent)2 KB (334 words) - 17:14, 12 November 2020
- ...uestion answering and information extraction. Text Data Mining and Machine Learning for IR.3 KB (399 words) - 23:05, 14 October 2008
- ...rom all KDD related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discove2 KB (306 words) - 12:02, 18 October 2008
- |Title=Nature Inspired Machine Learning 2007 ...let/event.showcfp?eventid=936&copyownerid=2 WikiCFP][[Category:Machine learning]]435 bytes (54 words) - 15:28, 16 July 2016
- * Integration of electronic dictionaries into language learning and teaching (CALL, translator training, etc.)6 KB (700 words) - 23:06, 14 October 2008
- - grammatical inference and algorithmic learning7 KB (994 words) - 23:06, 14 October 2008
- * machine learning of semantic structures5 KB (726 words) - 17:37, 9 January 2009
- exploit annotated data in order to make the most of machine learning - Learning features from annotated/raw corpora4 KB (584 words) - 23:06, 14 October 2008
- * Learnability of features (cf. meta-level learning for6 KB (729 words) - 23:06, 14 October 2008
- Question Generation is an essential component of learning environments, help systems, information seeking systems, multi-modal conver4 KB (533 words) - 23:06, 14 October 2008
- * general NLP-related machine learning techniques: theory, methods and algorithms4 KB (487 words) - 13:10, 19 February 2020
- *Statistical and Machine Learning Methods1 KB (170 words) - 14:42, 19 February 2020
- e-Learning of translators4 KB (576 words) - 23:06, 14 October 2008
- c. Morphology : significant agreement errors, no learning from corrections ..., controlled language (CLAW), standards for MT, computer-assisted language learning with MT, using interlinguas for MT, open-source MT, example-based MT, paten16 KB (2,200 words) - 20:51, 18 February 2021
- ...action will be held in conjunction with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases that will t ...ations from data sources. IE methods versatilely address naturally arising learning tasks where the data is generally structured, highly correlated, and freque4 KB (485 words) - 23:06, 14 October 2008
- on Computational Natural Language Learning (CoNLL-2005), and PsychoCompLA-2007 thriving research agenda that applies computational learning techniques to8 KB (1,014 words) - 23:06, 14 October 2008
- ...tal versus non-incremental learning, distribution-free models of learning, learning under various distributional assumptions, learnability results, complexity4 KB (505 words) - 23:06, 14 October 2008
- * required user training and consultation, learning curve of non-specialists ...ased grammars, unsupervised learning, semi-automatic learning, user-driven learning (see topic 5 too)9 KB (1,072 words) - 23:06, 14 October 2008
- - learning semantic representations from raw text7 KB (856 words) - 23:06, 14 October 2008
- science, psycholinguistics, language learning, and ergonomics. We8 KB (1,099 words) - 23:06, 14 October 2008
- - What machine learning approaches are most appropriate for this task --8 KB (992 words) - 23:07, 14 October 2008
- ...is part of the Thematic Programme "Leveraging Complex Prior Knowledge for Learning" of the PASCAL-2 European Network of Excellence starting in March 2008. ...e aim of the workshop is to present and discuss recent advances in machine learning approaches to text and natural language processing that capitalize on rich5 KB (758 words) - 23:07, 14 October 2008
- * Machine Learning and Data Mining: applications of ML/DM to email, including information extr5 KB (668 words) - 17:01, 24 February 2016
- research but uses methods from different areas: machine learning, computer4 KB (468 words) - 23:07, 14 October 2008
- recognition, speech synthesis, character recognition, e-learning,7 KB (831 words) - 23:07, 14 October 2008
- ...applications. Major conferences in natural language processing and machine learning have recently witnessed a significant number of approaches that use Wikiped ...ipedia from different perspectives, including (but not limited to) machine learning, computational linguistics, information retrieval, information extraction,5 KB (736 words) - 23:07, 14 October 2008
- balancing the considerations of what structure merits learning versus5 KB (683 words) - 23:07, 14 October 2008
- * Probabilistic models and machine learning * Unsupervised or semi-supervised learning of linguistic knowledge7 KB (908 words) - 23:07, 14 October 2008
- arguably offer a much greater potential for learning valid * machine learning techniques for inducing structured translation4 KB (586 words) - 23:07, 14 October 2008
- * Knowledge representation in learning systems * Visualization of concepts in learning systems6 KB (825 words) - 17:06, 27 December 2015
- �?� Computer Assisted Language Learning8 KB (1,096 words) - 23:07, 14 October 2008
- machine learning, hybrid;5 KB (589 words) - 23:07, 14 October 2008
- * Corpus-based techniques and analysis (including machine learning);5 KB (646 words) - 14:36, 15 June 2020
- graph and optimization algorithms; Computational learning5 KB (698 words) - 23:08, 14 October 2008
- - Ontology learning from legal texts, including sub-areas such as ontology customization, ontol7 KB (1,016 words) - 23:08, 14 October 2008
- * new machine learning paradigms,2 KB (183 words) - 23:08, 14 October 2008
- ...axonomies and Ontologies from the Web, Information Extraction with Machine Learning, Document Classification and Indexing.3 KB (384 words) - 23:08, 14 October 2008
- * Machine learning, Classification, Clustering, Ranking, Filtering, Spam Detection, Topic Dete3 KB (401 words) - 23:08, 14 October 2008
- * text analysis, corpora, corpus linguistics, language processing, language learning7 KB (1,033 words) - 23:08, 14 October 2008
- and machine learning. These techniques facilitate the automatic (i.e. via "supervised" machine learning methods), or5 KB (682 words) - 09:30, 28 August 2020
- * Experiences and applications in areas such as: e-health, e-learning, e-agriculture, e-government, and e-participation9 KB (1,127 words) - 17:19, 26 April 2011
- Learning user preferences and ranking functions4 KB (570 words) - 11:48, 18 October 2008
- ...from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, k [[Category:Machine learning]]5 KB (634 words) - 15:36, 14 December 2008
- | Title = The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | Field = Machine learning528 bytes (56 words) - 11:38, 17 October 2008
- | Title = Sixth International Workshop on Teaching, Learning and Assessment of Databases563 bytes (66 words) - 23:09, 14 October 2008
- - E-Learning, eCommerce, e-Business and e-Government Sheridan Institute of Technology and Advanced Learning4 KB (595 words) - 23:09, 14 October 2008
- * Machine learning in data integration in the life sciences3 KB (419 words) - 23:10, 14 October 2008
- Aspects of the Web (SAW 2008) and on E-Learning for Business Needs).7 KB (875 words) - 23:10, 14 October 2008
- * Learning user preferences and ranking functions4 KB (517 words) - 15:26, 16 December 2020
- ...l services and systems in various application fields such as e-Commerce, e-Learning or transport systems. However, such systems constrained resources in terms2 KB (324 words) - 16:49, 16 December 2020
- | Title = 4th Annual e-learning conference on Intelligent Interactive Learning Object Repositories ...is hosting its 4th annual e-learning conference on Intelligent Interactive Learning Object Repositories - I2LOR 2007- November 4 to 7, 2007 in Montreal, Quebe4 KB (503 words) - 23:11, 14 October 2008
- 19. e-Commerce, Mobile Commerce, e-Government, e-Learning and e-Health2 KB (200 words) - 23:11, 14 October 2008
- :: Machine Learning for Cognitive Radio6 KB (753 words) - 23:11, 14 October 2008
- �?� Self-learning defense strategies5 KB (694 words) - 23:11, 14 October 2008
- 5. Multimedia Processing for e-Learning4 KB (496 words) - 23:12, 14 October 2008
- |Title=Conference on Natural Language Learning The '''23rd Conference on Computational Natural Language Learning (CoNLL) 2019'''650 bytes (85 words) - 11:54, 13 March 2020
- |Title=Conference on Natural Language Learning The '''22nd Conference on Computational Natural Language Learning'''612 bytes (81 words) - 12:04, 13 March 2020
- |Title=Conference on Natural Language Learning The '''21st Conference on Computational Natural Language Learning (CoNLL) 2017'''627 bytes (84 words) - 12:11, 13 March 2020
- * Agent Learning Models for Autonomic Web-Services3 KB (415 words) - 23:13, 14 October 2008
- * Computational Learning Theory has contributions to make with their7 KB (984 words) - 23:13, 14 October 2008
- ...m counselling, to academic advising, to program planning, to collaborative learning, to tutoring, and to testing. ...ed and more accurate intelligent support can be provided, aiming at making learning easier for learners.6 KB (839 words) - 23:13, 14 October 2008
- *Ranking and machine learning for ranking2 KB (237 words) - 12:23, 11 September 2020
- ...b Services technologies. It will also target potential users interested in learning about the feasibility of Semantic Web Services in market and industry.10 KB (1,392 words) - 23:13, 14 October 2008
- |Title=Seventh International Conference on Learning Representations |Field=machine learning, deep learning, learning2 KB (245 words) - 10:52, 12 May 2020
- | Title = Workshop on Social Information Retrieval for Technology-Enhanced Learning Workshop on Social Information Retrieval for Technology-Enhanced Learning (SIRTEL'08)7 KB (989 words) - 23:13, 14 October 2008
- Web Based e-Commerce, e-learning applications3 KB (494 words) - 23:16, 14 October 2008
- * Learning9 KB (1,139 words) - 23:14, 14 October 2008
- ...ds to provide a forum for researchers in the field of Data Mining, Machine Learning and Artificial Intelligence, to discuss the above and other related topics ...therefore now the right time for the application of sophisticated machine learning, data mining, information retrieval, information extraction, semantic Web a3 KB (453 words) - 23:14, 14 October 2008
- - Folksonomies and Ontology learning7 KB (950 words) - 23:14, 14 October 2008
- ...International Workshop on Social and Personal Computing for Web-Supported Learning Communities586 bytes (67 words) - 23:14, 14 October 2008
- * E-learning5 KB (709 words) - 19:41, 22 February 2009
- | Title = International Conference on Web-based Learning | Field = Machine learning592 bytes (67 words) - 23:14, 14 October 2008
- Accessing the Deep Web (ADW 2008) and on E-Learning for Business Needs).7 KB (860 words) - 11:55, 7 January 2009
- ...International Workshop on Virtual Environments and Web Applications for e-Learning584 bytes (67 words) - 23:14, 14 October 2008
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- * Norm learning and emergence <big>Area 6 – Learning and Adaptation6 KB (659 words) - 17:41, 11 February 2021
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- | Title = Second International Workshop on Teaching and Learning of Information Retrieval Learning of Information Retrieval6 KB (898 words) - 23:16, 14 October 2008
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- Machine Learning, Knowledge Acquisition8 KB (982 words) - 23:17, 14 October 2008
- ...g, scientific visualization, modeling and simulation, data mining, machine learning and pattern recognition6 KB (694 words) - 23:17, 14 October 2008
- * Machine learning for signal processing4 KB (490 words) - 22:46, 4 February 2009
- O. Statistic Learning & Pattern Recognition2 KB (226 words) - 23:17, 14 October 2008
- Pattern Recognition and Learning3 KB (362 words) - 23:17, 14 October 2008
- | Title = IEEE Workshops on Machine Learning for Signal Processing | Field = Machine learning3 KB (456 words) - 23:17, 14 October 2008
- Machine Learning and Data Mining Artificial Intelligence and Symbolic Learning4 KB (438 words) - 23:17, 14 October 2008
- | Field = Machine learning ...this series of workshops is to bring together researchers from the Machine Learning, Pattern Recognition, Signal Processing and Communications communities, in3 KB (366 words) - 23:17, 14 October 2008
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- Machine learning for signal processing3 KB (450 words) - 23:04, 4 February 2009
- ...duce research findings about gender and ethnic differences in teaching and learning, and then focus on alternative techniques for teaching software engineering7 KB (892 words) - 09:16, 8 July 2020
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- ...essaging systems, which are widely analyzed using graph theory and machine learning techniques. People perceive the Web increasingly as a social medium that fo3 KB (404 words) - 23:18, 14 October 2008
- | Title = 6th International Conference on Machine Learning and Data Mining | Field = Machine learning3 KB (443 words) - 18:35, 1 March 2012
- Computational Learning Theory Multi-Task Learning4 KB (520 words) - 20:02, 26 February 2020
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- | Title = European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics | Field = Machine learning2 KB (308 words) - 23:19, 14 October 2008
- ...e = The Third IEEE International Workshop on Multimedia Technologies for E-Learning Multimedia Technologies for E-Learning (MTEL)6 KB (804 words) - 23:20, 14 October 2008
- (E-Learning, Entertainment, Health Care, Web2.0, SNS, etc.)3 KB (340 words) - 18:41, 10 June 2020
- - Multimedia for Learning10 KB (1,262 words) - 23:20, 14 October 2008
- * e-Learning in Cultural Heritage3 KB (326 words) - 00:05, 15 October 2008
- ...to see if anyone could edit it for you for a smaller fee or you could try learning the basics of flash.Another option would be using a Flash Website Builder,515 bytes (99 words) - 02:04, 1 March 2012
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- | Title = Third Workshop on Tackling Computer Systems Problems with Machine Learning Techniques Third Workshop on Tackling Computer Systems Problems with Machine Learning Techniques (SysML08)6 KB (837 words) - 23:21, 14 October 2008
- | Title = 3rd Annual Machine Learning Symposium | Field = Machine learning2 KB (258 words) - 23:21, 14 October 2008
- | Title = European Workshop on Reinforcement Learning | Field = Machine learning519 bytes (58 words) - 14:48, 27 December 2015
- | Title = ACM SAC Special track on Relational Learning | Field = Machine learning5 KB (569 words) - 23:21, 14 October 2008
- | Title = Workshop on Preference Learning at ECML/PKDD-08 | Field = Machine learning5 KB (664 words) - 23:21, 14 October 2008
- | Title = International Conference on Machine Learning and Applications ...et/event.showcfp?eventid=2354&copyownerid=2 WikiCFP][[Category:Machine learning]]593 bytes (67 words) - 23:21, 14 October 2008
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- | Field = Machine learning575 bytes (66 words) - 23:21, 14 October 2008
- | Title = Workshop on Machine Learning and Automated Planning | Field = Machine learning4 KB (581 words) - 23:21, 14 October 2008
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- | Title = International Conference on Machine Learning and Cybernetics | Field = Machine learning556 bytes (61 words) - 23:21, 14 October 2008
- | Title = 2nd Workshop on statistical and machine learning approaches to Architectures and compilation | Field = Machine learning4 KB (447 words) - 23:21, 14 October 2008
- 13. Medical Electromagnetics 33. Learning3 KB (357 words) - 23:23, 14 October 2008
- |Title=IEEE International Conference on Advanced Learning Technologies434 bytes (53 words) - 14:47, 9 March 2020
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- ...our products and services. Just as we support the advance of knowledge and learning, we are constantly developing our own professional skills too. We strive to3 KB (412 words) - 19:34, 12 November 2020
- * Iterative Learning Control (ILC)2 KB (253 words) - 23:24, 14 October 2008
- - Dynamics and Learning for Gesture Interpretation - Visual Learning6 KB (872 words) - 11:31, 21 February 2020
- Statistical Methods and Learning in Vision1 KB (185 words) - 14:09, 17 October 2016
- Machine Learning and Data Mining3 KB (421 words) - 23:25, 14 October 2008
- Statistical Methods and Learning3 KB (377 words) - 08:52, 17 October 2018
- ...gistration, template matching, indexing, image search, robust recognition, learning, shape-from-X, motion analysis, segmentation, active vision, CADbased visio2 KB (264 words) - 23:25, 14 October 2008
- ...xtraction, grouping and segmentation; Scene analysis; Pattern recognition; Learning in vision; Human-computer interaction; Tracking and surveillance; Biometric4 KB (459 words) - 23:25, 14 October 2008
- ...ced techniques from pattern recognition and related fields such as machine learning, computer vision and human language technology. An increasingly important a ...ons should be related to the following areas: pattern recognition, machine learning, computer vision and human language technology.4 KB (550 words) - 23:25, 14 October 2008
- ...n techniques for recognition and categorization, knowledge representation, learning, reasoning, goal specification and context awareness2 KB (234 words) - 23:25, 14 October 2008
- - Dynamics and Learning for Gesture Interpretation - Visual Learning4 KB (568 words) - 11:31, 21 February 2020
- ...technical accessibility and Internet communications. Many online classes, learning systems, university curricula, remote education, and virtual training class ...tive learning models. The generalization of successful practices on mobile learning is favoured by many national and international projects and policy synchron6 KB (765 words) - 23:26, 14 October 2008
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- ...Tutorials (half-day or full-day sessions) are intended to provide in-depth learning on a specific topic of interest to the participants. Panel sessions are 603 KB (363 words) - 23:28, 14 October 2008
- ...iologists by presenting cutting-edge solutions of Modeling, Computing and Learning in Biology and Life Science. We invite submissions that address conceptual - Biological Applications of Data-Mining and Machine Learning Techniques3 KB (454 words) - 16:54, 27 December 2015
- ...network, Fuzzy systems, Genetic algorithm, Evolutionary computing, Machine learning, Data mining4 KB (561 words) - 23:29, 14 October 2008
- Intelligence and Learning2 KB (253 words) - 23:29, 14 October 2008
- * Adaptive and Learning Systems3 KB (397 words) - 23:29, 14 October 2008
- Cognition, perception and learning for humanoid robots3 KB (412 words) - 16:25, 28 June 2009
- | Title = Workshop On Grasp and Task Learning by Imitation518 bytes (61 words) - 23:29, 14 October 2008
- management, and steep learning curves. The Java programming language6 KB (847 words) - 23:30, 14 October 2008
- 1) learning/constructing ontologies for Semantic Web applications; * Learning structures from the Web for Semantic Web-enabled applications5 KB (702 words) - 23:31, 14 October 2008
- ...formation and support user-centered tasks on a variety of domains (e.g., e-learning, e-commerce, and e-government). Local knowledge is annotated into a large r6 KB (859 words) - 19:21, 17 November 2008
- * Machine learning and human language technologies for the Semantic Web ...ications of Semantic Web (e-Business, e-Science, e-Health, e-Government, e-Learning, e-Culture)4 KB (573 words) - 23:31, 14 October 2008
- * Ontology learning9 KB (1,173 words) - 23:31, 14 October 2008
- * E-Learning, E-Business, E-Government, and ...l be achieved within the chosen time period and the indication of the main learning outcomes. Tutorial proposals should address the following issues:18 KB (2,282 words) - 17:11, 15 October 2008
- * machine learning and the semantic web * e-learning6 KB (879 words) - 23:31, 14 October 2008
- Ontology Learning and Metadata Generation (e.g., HLT and ML approaches) Semantic Web for e-Business, e-Science, e-Health, e-Culture, e-Government, e-Learning and other application domains2 KB (266 words) - 11:46, 28 May 2016
- ...nagerial (information management and processes), and economical. Fostering learning is a key, and simplicity is generally an enabler for dependability.8 KB (952 words) - 23:31, 14 October 2008
- - Ontologies in e-learning and e-science4 KB (523 words) - 23:31, 14 October 2008
- * Machine learning2 KB (276 words) - 23:31, 14 October 2008
- * Pattern recognition and machine learning techniques in biomedical engineering4 KB (472 words) - 23:31, 14 October 2008
- ...hnologies are needed. The applications of artificial intelligence, machine learning,5 KB (647 words) - 23:32, 14 October 2008
- ...hitectures for emerging application domains such as deep learning, machine learning, relational computation, neuromorphic, quantum, etc.5 KB (580 words) - 10:32, 12 May 2020
- * 2020 USENIX Conference on Operational Machine Learning (OpML '20): July 30 at the Hyatt Regency Santa Clara in Santa Clara, CA, US4 KB (577 words) - 09:28, 12 May 2020
- |Title=Networked Learning Conference208 bytes (24 words) - 22:16, 25 February 2020
- * Algorithms and tools that combine verification and learning2 KB (291 words) - 11:09, 20 November 2020
- * Martin Vechev: Can Programming Languages Research impact Deep Learning 2.0?3 KB (402 words) - 13:23, 8 July 2020
- |Field=Artificial intelligence,Machine learning779 bytes (85 words) - 13:50, 22 August 2023
- * Computational learning theory,2 KB (283 words) - 18:05, 4 March 2021
- * Architecture applications of Machine Learning3 KB (327 words) - 13:11, 11 May 2020
- * e-Learning Ecosystems2 KB (279 words) - 23:32, 14 October 2008
- Artificial Intelligence in Engineering: Reasoning, Learning, Decision Making, Knowledge Based Systems, Expert Systems Computational Intelligence in Engineering: Machine Learning, Genetic Algorithms, Neural Nets, Fuzzy Systems, Fuzzy and Neuro-fuzzy Cont2 KB (263 words) - 23:32, 14 October 2008
- ...power quality, electric vehicle, analytical and simulation methods, and e-learning in education.4 KB (504 words) - 23:33, 14 October 2008
- ** creation, learning, population, evolution and evaluation of ontologies9 KB (1,134 words) - 01:18, 1 February 2009
- ...ed Learning and Teaching Strategies and Resources & The Impact of Distance Learning on the Teaching of Philosophy and Computing4 KB (616 words) - 23:35, 14 October 2008
- ?Semantic-based Virtual Organizations ?e-culture ?e-Science ?e-Business ?e-Learning ?e-Government ?Grid Security ?Sensor networks and Grid applications3 KB (367 words) - 23:35, 14 October 2008
- ...ANALCO09). Since researchers in both fields are approaching the problem of learning detailed information about the performance of particular algorithms, we exp4 KB (524 words) - 23:37, 14 October 2008
- ...cs, randomness in computing, parallel and distributed computation, machine learning, applications of logic, algorithmic algebra and coding theory, computationa5 KB (766 words) - 23:37, 14 October 2008
- Agent-based distributed ontology mapping and learning. Multi-strategy and meta-learning for cooperative information agents.9 KB (1,215 words) - 23:38, 14 October 2008
- | Title = International Conference on Machine Learning and Applications558 bytes (62 words) - 23:38, 14 October 2008
- ...rkshop on Visual Design Languages and Applications for Technology-Enhanced Learning ...rkshop on Visual Design Languages and Applications for Technology-Enhanced Learning (VIDLATEL '08)6 KB (852 words) - 23:39, 14 October 2008
- learning of recent developments in the evolving OpenMP standard. The3 KB (460 words) - 23:39, 14 October 2008
- ...contributions influenced by other fields such as hardware design, machine learning, control theory, networking, economics, social organizations, and biologica6 KB (781 words) - 23:39, 14 October 2008
- (Formerly Learning Object Discovery & Exchange - LODE) ...eld in conjunction with the 3rd European Conference on Technology Enhanced Learning (EC-TEL'08 - http://www.ectel08.org/), Maastricht School of Management, Maa6 KB (821 words) - 23:41, 14 October 2008
- | Title = Third European Conference on Technology Enhanced Learning540 bytes (59 words) - 23:41, 14 October 2008
- | Title = Workshop on E-Learning for Business needs ...d practitioners together to explore the issues and challenges related to e-Learning for business needs. We want to facilitate discussion on the topics includin2 KB (324 words) - 23:41, 14 October 2008
- | Title = IADIS International Conference E-Learning 2008533 bytes (56 words) - 23:41, 14 October 2008
- | Title = 6th International Conference in Networked Learning542 bytes (58 words) - 23:41, 14 October 2008
- ...CC management, online communities, automatic classification, e-commerce, e-learning, recommendation, personalization - Intelligent systems and techniques : robotics, autonomic computing, machine learning, semantic Web, etc.2 KB (303 words) - 23:42, 14 October 2008
- * Spoken language acquisition, development and learning * Applications for learning and education2 KB (283 words) - 23:43, 11 February 2020
- - Pervasive Learning4 KB (483 words) - 23:42, 14 October 2008
- ...nd management best approached? What is the impact on knowledge management, learning and risk management? Which IP, licensing and spin-off and revenue generatio Learning and knowledge management in OI3 KB (468 words) - 23:43, 14 October 2008
- |Title=European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases |Field=Machine learning303 bytes (42 words) - 22:54, 14 May 2020
- The main theme of the conference is “Future Trends in Learning and Instructional Technologies”. The aim of the conference is to bring to ..., Improving classroom teaching, Pedagogical and practical issues, Teaching/learning strategies, ICT literacy in education, Information technology diffusion/int2 KB (287 words) - 12:33, 8 December 2020
- |Field=Computer-supported learning252 bytes (28 words) - 23:11, 19 October 2008
- |title=International Journal on E-Learning |Field=E-Learning185 bytes (23 words) - 23:06, 19 October 2008
- |Title=World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education |Field=E-Learning338 bytes (40 words) - 01:50, 20 October 2008
- |Title=GI-Fachgruppe E-Learning |Field=E-Learning213 bytes (24 words) - 18:13, 20 October 2008
- |Field=Computer-based learning [[Category:E-Learning]]1 KB (153 words) - 10:49, 29 October 2008
- * Concerns of individual developers in collaboration settings, such as learning, personal productivity, usability and incentives.3 KB (341 words) - 01:15, 31 May 2012
- ...saging, mobile phone, phishing, etc. /; Spam compression and recognition; Learning misuse patterns; Payment schemes; Economics of generalized spam; Tracking a13 KB (1,617 words) - 19:03, 24 November 2008
- |Title=International Conference on Web-based Learning |Field=Computer-based learning1 KB (163 words) - 21:59, 30 November 2008
- |Title=E-Learning Baltics 2009 |Field=E-Learning5 KB (599 words) - 18:05, 11 December 2008
- ...histicated techniques for in-depth content processing, analysis, indexing, learning, mining, searching, management, and retrieval. The International Journal of3 KB (440 words) - 12:20, 12 December 2008
- |Title=7. e-Learning Fachtagung Informatik |Field=E-Learning7 KB (862 words) - 15:06, 27 December 2015
- ** Informal Learning at the Workplace ** Graph Mining and Statistical Relational Learning2 KB (256 words) - 01:51, 16 December 2008
- |Title=31st Annual Conference on Learning Theory |Field=Theoretical Aspects of Machine Learning and Related Topics3 KB (314 words) - 09:33, 1 April 2020
- *S2: Reinforcement Learning: Leveraging Deep Learning for Controls3 KB (429 words) - 10:49, 9 October 2020
- |Title=4th International Conference on Interactive Mobile and Computer Aided Learning |Field=Computer-supported learning11 KB (1,366 words) - 16:44, 14 January 2009
- |Title=International Conference on Interactive Computer Aided Blended Learning ...lecting experiences and needs of Education Institutions/Organizations in e-Learning3 KB (420 words) - 08:55, 30 July 2012
- |Title=International Conference on E-Learning in the Workplace |Field=E-Learning6 KB (744 words) - 16:27, 14 January 2009
- *Demands in education and training, e-learning, b-learning, m-learning and ODL4 KB (504 words) - 17:54, 12 February 2009
- ...le = The First Workshop on Case Studies of Bayesian Statistics and Machine Learning435 bytes (46 words) - 13:46, 23 January 2009
- - E-learning - Learning through reinforcement6 KB (812 words) - 12:55, 18 January 2009
- - Special Session: Software Content Creation and Teaching and Learning Strategies in Science and Engineering - Special Session: Medical e-Learning4 KB (593 words) - 00:53, 2 February 2009
- ...rvasive computer with special tracks on collaborative work, health care, e-learning, etc. In addition to technical papers, ICPCA2009 will include keynote speec Ubiquitous Learning4 KB (597 words) - 13:46, 23 January 2009
- * Virtual Learning Environments * E-learning (organized by Jacek Waliński & Przemek Krakowian)3 KB (386 words) - 12:57, 18 January 2009
- learning tools that exploit monological and dialogical argument structures5 KB (658 words) - 12:58, 18 January 2009
- o Machine learning5 KB (567 words) - 12:58, 18 January 2009
- ...rom low-level perception and attention to higher-level problem-solving and learning.1,014 bytes (126 words) - 18:47, 5 July 2016
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- o Machine learning for e-commerce applications9 KB (1,221 words) - 12:58, 18 January 2009
- |Title=7. e-Learning Fachtagung Informatik der Gesellschaft für Informatik Die 7. e-Learning Fachtagung Informatik7 KB (878 words) - 17:16, 11 December 2020
- * E-government, -commerce, -learning,…16 KB (2,178 words) - 12:59, 18 January 2009
- * Machine learning in data integration in the life sciences4 KB (475 words) - 13:00, 18 January 2009
- - Distributed Machine Learning over XML Repositories7 KB (1,030 words) - 13:00, 18 January 2009
- * Learning and classification6 KB (687 words) - 13:00, 18 January 2009
- - Learning and knowledge growth6 KB (860 words) - 13:00, 18 January 2009
- | Title = 18th Annual Belgian-Dutch Conference on Machine Learning | Field = Machine learning547 bytes (60 words) - 16:55, 27 December 2015
- | Title = Symposium on Learning Control508 bytes (58 words) - 13:00, 18 January 2009
- - temporal learning and discovery6 KB (872 words) - 13:00, 18 January 2009
- ...al distinct research communities, including knowledge engineering, machine learning, natural language processing, human-computer interaction, artificial intell * Learning apprentices5 KB (604 words) - 16:23, 27 December 2017
- - Machine Learning4 KB (582 words) - 14:47, 2 December 2010
- Web-based Learning2 KB (240 words) - 17:46, 21 July 2016
- * Informal (social) learning and knowledge sharing in organizations7 KB (890 words) - 13:01, 18 January 2009
- learning, data mining, case-based reasoning, artificial neural networks,5 KB (649 words) - 12:54, 27 December 2015
- • Learning algorithms that use non-traditional relevance judgments.7 KB (906 words) - 13:01, 18 January 2009
- Machine Learning3 KB (320 words) - 16:40, 27 December 2015
- - Machine learning approaches to search software.5 KB (618 words) - 13:01, 18 January 2009
- - Mobile Entertainment, Gaming and Learning4 KB (564 words) - 13:01, 18 January 2009
- - Machine Learning - Agents and Learning4 KB (588 words) - 13:01, 18 January 2009
- - Learning Technologies 1) Advances in Web Based Learning - AWBL 0910 KB (1,321 words) - 13:01, 18 January 2009
- | Title = 7th International Workshop on Mining and Learning with Graphs * SRL-2009 - International Workshop on Statistical Relational Learning4 KB (542 words) - 13:01, 18 January 2009
- | Field = Machine learning * SRL-2009 - International Workshop on Statistical Relational Learning4 KB (521 words) - 15:25, 23 July 2019
- 5. applications of rational kernels to active/statistical machine learning of finite-state models. 2.Machine Learning with Automata by Colin de la Higuera10 KB (1,287 words) - 13:02, 18 January 2009
- - Machine learning in control applications - Hybrid learning systems5 KB (661 words) - 13:02, 18 January 2009
- Intelligent e-Learning Multimedia6 KB (693 words) - 13:03, 18 January 2009
- - Computer Assisted Language Learning (CALL)4 KB (608 words) - 13:03, 18 January 2009
- * Education / Transfer Technologies: E-learning, IT and Wireless Technologies in the Education Process * AmI technologies: Sensor, communications, learning and algorithms3 KB (355 words) - 13:03, 18 January 2009
- Center of Excellence for Learning in Education, Science, and Technology (http://cns.bu.edu/CELEST) Development of learning systems in the human brain8 KB (1,092 words) - 13:33, 18 January 2009
- Charles A. Shoniregun, Sheridan Institute of Technology and Advanced Learning, Canada Victor Ralevich, Sheridan Institute of Technology and Advanced Learning, Canada3 KB (374 words) - 03:28, 5 March 2009
- * » fuzzy deep learning2 KB (223 words) - 17:26, 6 May 2021
- * evolutionary machine learning,2 KB (307 words) - 11:42, 20 May 2020
- A-07 Natural Language Learning C-05 Machine Learning4 KB (459 words) - 16:33, 27 February 2009
- Learning Algorithms Machine Learning4 KB (428 words) - 21:06, 15 June 2009
- - Machine Learning • Dr. Doina Caragea (Machine Learning and Bioinformatics Laboratory, Kansas State University, USA)6 KB (830 words) - 16:33, 27 February 2009
- | Title = ICML 2009 Workshop on Evaluation Methods for Machine Learning IV | Field = Machine learning5 KB (799 words) - 16:33, 27 February 2009
- - Computer graphics and learning.7 KB (771 words) - 14:37, 17 December 2020
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- - Agent Self-organization, Learning, and Adaptation - Agent Self-organization, Learning, and Adaptation4 KB (630 words) - 16:33, 27 February 2009
- | Title = The 1st Asian Conference on Machine Learning | Field = Machine learning5 KB (607 words) - 17:03, 27 December 2015
- ...uted computing; circuits and boolean functions; online algorithms; machine learning and artificial2 KB (282 words) - 11:28, 21 April 2021
- Robot Learning3 KB (313 words) - 17:06, 27 February 2009
- [[Category:Machine learning]]413 bytes (48 words) - 01:47, 16 October 2009
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- Robotics, natural language processing, reinforcement learning, neural networks, Bayesian networks, genetic algorithms, logic, rule based8 KB (1,134 words) - 17:06, 27 February 2009
- 3. Goals and learning objectives4 KB (528 words) - 17:06, 27 February 2009
- evolutionary learning.3 KB (446 words) - 16:30, 5 July 2020
- * Novel application of techniques from disciplines such as machine learning, computer vision, computer graphics, speech processing, networking, or huma10 KB (1,457 words) - 09:53, 25 February 2020
- Computitional learning theory for the Web3 KB (440 words) - 17:06, 27 February 2009
- E-Learning Ecosystems7 KB (941 words) - 17:07, 27 February 2009
- | Title = Transformative Learning and Online Education: Aesthetics, Dimensions and Concepts Transformative Learning and Online Education:5 KB (647 words) - 17:07, 27 February 2009
- learning, interaction, reasoning, programming, robust perception, mobile manipulatio - robotic learning by experimentation2 KB (308 words) - 17:07, 27 February 2009
- • Machine learning in control applications • Hybrid learning systems3 KB (319 words) - 17:07, 27 February 2009
- ...nal experience beyond learning by their inclusion within and alongside the learning environment aspects of socialising and playing.2 KB (279 words) - 17:07, 27 February 2009
- * Active Learning * Case-Based Learning2 KB (283 words) - 15:21, 25 February 2021
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- * Learning and adaptation1 KB (165 words) - 21:07, 27 February 2009
- New Library Learning Spaces3 KB (440 words) - 17:07, 27 February 2009
- * Learning from prototypes and experimental systems5 KB (670 words) - 17:08, 27 February 2009
- -Distance Learning Systems Distance Learning Systems11 KB (1,440 words) - 17:08, 27 February 2009
- - Innovative uses of Technology for E-Learning12 KB (1,690 words) - 17:08, 27 February 2009
- cognitive aesthetics, arts, psychology, e-learning, neuroengineering,6 KB (795 words) - 15:02, 27 December 2015
- | Title = Joint Workshop on Visual and Contextual Learning from Annotated Images and Videos, and Visual Scene Understanding VCL’09: Workshop on Visual and Contextual Learning from Annotated Images and Videos7 KB (1,031 words) - 22:08, 27 February 2009
- - Personalized mobile learning5 KB (711 words) - 17:08, 27 February 2009
- areas: machine learning, computer linguistics and psychology, user ...ategory formation, clustering, entity resolution, document classification, learning methods for ranking3 KB (400 words) - 21:02, 27 February 2009
- |Title=Conference on Natural Language Learning ...]] (pronounce as signal) is the Special Interest Group on Natural Language Learning of the [[Association for Computational Linguistics]] (ACL).3 KB (349 words) - 11:44, 3 August 2020
- evolutionary computation, machine learning and probabilistic reasoning, and3 KB (460 words) - 13:22, 8 October 2020
- - Dynamics and Learning for Gesture Interpretation - Visual Learning5 KB (595 words) - 11:32, 21 February 2020
- *E-Learning3 KB (328 words) - 16:20, 18 March 2009
- *Knowledge graph quality for machine learning applications5 KB (607 words) - 19:34, 22 March 2021
- * Deep learning for multimedia retrieval * Learning and relevance feedback in multimedia retrieval3 KB (439 words) - 06:47, 17 April 2020
- * E-learning and learning organizations4 KB (571 words) - 12:58, 9 March 2020
- |Title=IEEE International Conference on Advanced Learning Technologies |Field=E-Learning157 bytes (19 words) - 18:28, 26 March 2020
- (corporate memories, e-commerce, design, tutoring/e-learning,<br/>4 KB (504 words) - 12:10, 3 June 2009
- ...g trends, and to promote discussion about the pedagogical potential of new learning and educational technologies in the academic and corporate world. 1. Information Technologies Supporting Learning5 KB (661 words) - 15:49, 8 December 2009
- - Learning User Profiles3 KB (440 words) - 15:25, 9 December 2009
- * Machine learning4 KB (532 words) - 20:21, 4 June 2009
- ...ctor Research & Development Technology Enhanced Learning at the Centre for Learning ...te for the emergence of a productive and lasting community of practice and learning that will maximally foster innovation6 KB (912 words) - 23:19, 4 June 2009
- - Models for learning trust and the evolution of trust5 KB (642 words) - 20:34, 9 June 2009
- ...nd appearance-based robotics, path and task planning, multi-robot systems, learning and adaptation, vision-based navigation, multimodal human-robot interaction2 KB (201 words) - 11:04, 29 June 2009
- #REDIRECT [[Learning Conference 2009]]38 bytes (3 words) - 08:56, 1 July 2009
- ...iewed as new foundation of Software Engineering, Knowledge Management, and Learning Organization.5 KB (627 words) - 16:46, 27 December 2015
- ...event.showcfp?eventid=6269&copyownerid=5802 WikiCFP][[Category:Machine learning]]1 KB (153 words) - 12:54, 27 December 2015
- | Title = IEEE Education Engineering 2010 - The Future of Global Learning Engineering Education ...career goals. Thus processing and acquiring knowledge is a key to a modern learning pedagogy, but also content creation, collaboration and community-based prac4 KB (499 words) - 14:57, 27 December 2015
- | Title = IADIS International Conference on Cognition and Exploratory Learning in Digital Age 2009 | Homepage = IADIS International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2009)5 KB (689 words) - 11:33, 2 August 2009
- ...event.showcfp?eventid=6238&copyownerid=1215 WikiCFP][[Category:Machine learning]]4 KB (592 words) - 11:33, 2 August 2009
- [[Category:Machine learning]]3 KB (412 words) - 11:45, 2 August 2009
- ...or their attendance. Attendees are encouraged to take advantage of various learning opportunities, from peer networking to visiting vendors in the exhibit hall2 KB (205 words) - 11:33, 2 August 2009
- Learning3 KB (324 words) - 11:33, 2 August 2009
- | Field = Machine learning ...approaches, Web technology, mining and agents, Genetic algorithms, Machine learning,Expert systems, Hybrid systems,2 KB (228 words) - 11:33, 2 August 2009
- |Field=Machine learning ...exciting research in all areas of Neural networks and Applications,Machine Learning,Multimedia System and Applications ,Speech Processing,Image & video Signal2 KB (269 words) - 15:56, 15 February 2017
- | Title = Learning in Intelligent Systems: FLAIRS Special Track | Field = Machine learning7 KB (1,003 words) - 19:42, 2 August 2009
- ...ances provide the foundation for more effective interactivity in work- and learning-related activities.4 KB (536 words) - 11:34, 2 August 2009
- ...Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Machine Learning, Evolutionary Computation, Neural Networks, Data Analysis.2 KB (253 words) - 10:51, 17 July 2020
- Supervised learning. Unsupervised learning.4 KB (473 words) - 11:34, 2 August 2009
- | Title = IEEE Intelligent Systems Speicla Issue on Social Learning Call for Papers: Special Issue on Social Learning4 KB (525 words) - 11:34, 2 August 2009
- E-commerce and e-learning9 KB (1,233 words) - 11:34, 2 August 2009
- * Media ontology learning4 KB (512 words) - 11:34, 2 August 2009
- | Title = Final QALL-ME (Question Answering Learning technologies in a multiLingual and Multimodal Environment) Workshop2 KB (328 words) - 11:34, 2 August 2009
- Machine Learning and Pattern Recognition5 KB (657 words) - 11:34, 2 August 2009
- e-Learning and virtual classrooms4 KB (564 words) - 12:01, 6 November 2020
- 1. Innovative learning processes2 KB (212 words) - 19:42, 2 August 2009
- .../event.showcfp?eventid=6165&copyownerid=837 WikiCFP][[Category:Machine learning]]4 KB (642 words) - 11:34, 2 August 2009
- and machine learning techniques.8 KB (1,033 words) - 11:35, 2 August 2009
- ...ch include (but not limited to): Ubiquitous Health Care, Ubiquitous Mobile Learning, Pervasive Emergency Management, Mobile Information Systems, Wireless and N1 KB (161 words) - 11:35, 2 August 2009
- ...ssaging, mobile phone, phishing, etc. /; Spam compression and recognition; Learning misuse patterns; Payment schemes; Economics of generalized spam; Tracking a6 KB (746 words) - 11:35, 2 August 2009
- ...gnitive vision techniques for scene analysis, semantic interpretation, and learning2 KB (339 words) - 11:35, 2 August 2009
- ...gistration, template matching, indexing, image search, robust recognition, learning, shape-from-X, motion analysis, segmentation, active vision, CAD-based visi2 KB (229 words) - 11:35, 2 August 2009
- * Automatic ontology construction (ontology learning) based on patterns10 KB (1,318 words) - 11:35, 2 August 2009
- • Statistical machine learning techniques in biomarker discovery5 KB (670 words) - 11:35, 2 August 2009
- ...ributed algorithms, embedded systems, wireless communications, and machine learning. In addition to full-length technical papers, IPSN is very interested in sh ...buted algorithms, networks and protocols, wireless communications, machine learning, and embedded systems design.8 KB (1,119 words) - 09:57, 27 February 2020
- ...stems. Together with the recent progress on semantic web, scalable machine learning, and multi-modal interaction, it is now possible to build a new generation * Media ontology generation/learning/reasoning5 KB (632 words) - 11:35, 2 August 2009
- ? Mobile ad hoc learning5 KB (571 words) - 11:35, 2 August 2009
- ...age information from other sources, such as the actor data, for multi-task learning. 1. Machine Learning in Multi-source Environments7 KB (850 words) - 11:36, 2 August 2009
- ...ts; Software engineering; Pattern recognition; Neural networks and machine learning; Computer networks and internet; Parallel and distributed systems; Computer3 KB (457 words) - 15:55, 15 February 2017
- E-Learning7 KB (882 words) - 11:36, 2 August 2009
- ...iewed as new foundation of Software Engineering, Knowledge Management, and Learning Organization.5 KB (634 words) - 10:13, 20 November 2020
- Learning Organization2 KB (277 words) - 16:38, 27 December 2015
- Pattern recognition and learning2 KB (217 words) - 11:36, 2 August 2009
- ...ke to illustrate how technology can aid in the constructionist approach to learning, thinking and education.2 KB (317 words) - 11:36, 2 August 2009
- - Supervised and Unsupervised Learning3 KB (404 words) - 11:36, 2 August 2009
- ...ems; RFID tags for digital rights management; Digital rights management in learning systems; Legal policy and digital right management14 KB (1,651 words) - 15:56, 15 February 2017
- * E-Learning and e-Teaching * E-Learning5 KB (552 words) - 17:06, 12 August 2009
- * Machine learning in control applications * Hybrid learning systems4 KB (475 words) - 13:42, 26 February 2010
- ...ry, language models, probabilistic retrieval models, feature-based models, learning to rank, combining searches, diversity)3 KB (449 words) - 00:45, 11 December 2009
- ...stics, image analysis, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational gen - Data mining and Machine Learning2 KB (244 words) - 18:52, 5 March 2020