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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
- * 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
