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- |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
- ...sues are being addressed in this field ranging from the development of new learning approaches to the parallelization of existing algorithms. The goal of this4 KB (546 words) - 23:14, 14 October 2008
- * Pattern recognition and learning3 KB (308 words) - 23:15, 14 October 2008
- * Norm learning and emergence <big>Area 6 – Learning and Adaptation6 KB (659 words) - 17:41, 11 February 2021
- * Collaborative e-education, e-learning, and collaborative computing in large scale digital libraries8 KB (1,093 words) - 23:15, 14 October 2008
- Modelling user behaviour and learning about user profiles from logs and past4 KB (563 words) - 23:15, 14 October 2008
- |Field=Machine learning201 bytes (23 words) - 15:36, 25 September 2016
- |Field=Machine learning195 bytes (23 words) - 15:36, 25 September 2016
- |Field=Machine learning158 bytes (19 words) - 15:36, 25 September 2016
- |Field=Machine learning161 bytes (19 words) - 15:39, 25 September 2016
- |Field=Machine learning155 bytes (19 words) - 15:37, 25 September 2016
- |Field=Machine learning153 bytes (19 words) - 15:37, 25 September 2016
- * Learning and relevance feedback in image/video retrieval3 KB (343 words) - 23:16, 14 October 2008
- Techniques. Machine learning for IR, learning to rank, clustering, IR scalability and efficiency, adversarial IR, user3 KB (336 words) - 10:34, 13 May 2020
- ...et/event.showcfp?eventid=2314&copyownerid=2 WikiCFP][[Category:Machine learning]]2 KB (280 words) - 23:16, 14 October 2008
- * learning to rank [[Category:Machine learning]]3 KB (467 words) - 23:16, 14 October 2008
- * Machine Learning for IR3 KB (368 words) - 23:16, 14 October 2008
- | Title = Second International Workshop on Teaching and Learning of Information Retrieval Learning of Information Retrieval6 KB (898 words) - 23:16, 14 October 2008
- ...cated with the IADIS International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2008) (http://www.celda-conf.org/) - participants of3 KB (345 words) - 18:20, 31 August 2011
- "Learning, Knowledge and Adaptivity" (LWA, 6.-8. Oct. 2008 at the -Machine learning in information retrieval5 KB (690 words) - 23:16, 14 October 2008
- * Learning and classification methodologies for document analysis systems ...et/event.showcfp?eventid=2310&copyownerid=2 WikiCFP][[Category:Machine learning]]5 KB (635 words) - 23:16, 14 October 2008
- * Application of IR technology: e-commerce, e-learning, digital libraries, ubiquitous computing, bioinformatics, medical informati3 KB (376 words) - 23:16, 14 October 2008
- 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
- ...et/event.showcfp?eventid=1792&copyownerid=2 WikiCFP][[Category:Machine learning]]640 bytes (72 words) - 17:05, 24 February 2016
- ...buted algorithms, networks and protocols, wireless communications, machine learning, and embedded systems design.4 KB (570 words) - 23:17, 14 October 2008
- 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
- # software engineering with computational intelligence and machine learning * Agent-based learning and knowledge discovery6 KB (733 words) - 12:48, 27 October 2016
- ...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
- ...the involvement of multiple research fields such as user modeling, machine learning, intelligent information retrieval, data and text mining, statistics, compu - Machine learning techniques for personalization4 KB (570 words) - 23:19, 14 October 2008
- ...ollaborative problem solving, seeking advice, or developing competences by learning from peers. Recently, the network perspective has gained interest in the do6 KB (886 words) - 23:19, 14 October 2008
- learning, and data mining. - data mining and machine learning techniques for supervised and7 KB (1,015 words) - 23:19, 14 October 2008
- adaptation of well-known data mining and machine learning algorithm and data mining algorithm and machine learning methods on Web 2.0 data.5 KB (646 words) - 23:19, 14 October 2008
- recognition, machine learning, and data mining to exchange Learning and Principles and Practice of Knowledge Discovery5 KB (505 words) - 23:19, 14 October 2008
- | Field = Machine learning571 bytes (63 words) - 23:19, 14 October 2008
- | Title = 6th International Workshop on Mining and Learning with Graphs ...et/event.showcfp?eventid=2713&copyownerid=2 WikiCFP][[Category:Machine learning]]560 bytes (66 words) - 23:19, 14 October 2008
- | 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
- ...et/event.showcfp?eventid=2342&copyownerid=2 WikiCFP][[Category:Machine learning]]6 KB (842 words) - 23:21, 14 October 2008
- | 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
- ...al Intelligence; Control and Reinforcement Learning; EmergingTechnologies; Learning Theory; Neuroscience; Speech and SignalProcessing; and Visual Processing. ...scientists. The topics spana widerange of subjects including Neuroscience, Learning Algorithms andTheory, Bioinformatics, Image Processing, and Data Mining.3 KB (366 words) - 13:10, 9 November 2016
- | 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
- * Learning algorithms ...et/event.showcfp?eventid=2436&copyownerid=2 WikiCFP][[Category:Machine learning]]2 KB (276 words) - 11:30, 22 March 2020
- ...et/event.showcfp?eventid=2003&copyownerid=2 WikiCFP][[Category:Machine learning]]611 bytes (68 words) - 23:21, 14 October 2008
- ...et/event.showcfp?eventid=2317&copyownerid=2 WikiCFP][[Category:Machine learning]]3 KB (364 words) - 23:21, 14 October 2008
- | 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
- Machine Learning and Robotics2 KB (288 words) - 23:24, 14 October 2008
- ...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