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- ...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