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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