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  • CCC 2020
    * machine learning
    2 KB (227 words) - 15:39, 21 October 2020
  • ACAS 2011
    Conference Theme: "Learning from the Past: Looking to the Future" field of Asian Studies. The conference theme is "Learning from the Past:
    2 KB (301 words) - 19:17, 12 November 2020
  • ICTSTEM 2020
    ...o further the application of technology education within STEM and specific learning areas. Within Technology education, students use design and/or computationa ...researchers to network and share their experiences. Teachers, and heads of learning areas as well as teacher educators, researchers and HDR researchers from K
    2 KB (265 words) - 16:59, 6 November 2019
  • KES AMSTA 2009
    ** Learning, evolution, and adaptation ** Multi-agent learning
    6 KB (777 words) - 22:54, 14 August 2008
  • JWS
    e-business, e-community, knowledge management, e-learning, digital libraries and e-sciences.
    6 KB (887 words) - 18:02, 10 November 2011
  • EMNLP 2020
    *Machine Learning for NLP
    5 KB (612 words) - 10:41, 2 June 2020
  • INS Special Issue on Collective Intelligence
    in problem solving and learning tasks has been of paramount importance.
    6 KB (790 words) - 23:08, 13 August 2008
  • Klaus-Peter Fähnrich
    ...e and E-Learning. He is member of the advisory committee of the Saxonian E-Learning Portal and the Master-Programme Media Leipzig (MML).
    3 KB (375 words) - 01:07, 14 August 2008
  • Sebastian Hellmann
    [[Field::Category:Machine learning]]
    214 bytes (29 words) - 04:18, 14 August 2008
  • CSCL 2017
    |Title=Computer Supported Collaborative Learning |Field=Computer-based learning
    290 bytes (31 words) - 12:20, 11 April 2020
  • DL-Learner
    | Field = Machine learning ...rnings tasks and support knowledge engineers in constructing knowledge and learning about the data they created.
    898 bytes (117 words) - 19:16, 20 September 2009
  • Editors
    ==== [[:category:Computer-based learning|Computer-based learning]] ====
    6 KB (714 words) - 12:19, 11 December 2020
  • WEBIST 2009
    ...pplications, Society, e-Communities, e-Business and, last but not least, e-Learning.
    3 KB (390 words) - 21:53, 22 August 2008
  • JWE
    ...y-chain management systems, financial applications, e-government, distance learning, and entertainment, among others. Such applications, in addition to their i
    6 KB (871 words) - 05:51, 26 August 2008
  • EVOBIO 2009
    |Title=Seventh European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics |Field=Machine learning
    4 KB (493 words) - 18:48, 4 September 2008
  • AAMAS 2009
    learning). - multi-agent planning and learning
    10 KB (1,371 words) - 16:14, 12 November 2020
  • DELFI 2008
    |Title=6. e-Learning Fachtagung Informatik der Gesellschaft für Informatik |Field=E-Learning
    1 KB (150 words) - 18:09, 20 October 2008
  • E-Learning 2.0 - DELFI 2008
    |Acronym=E-Learning 2.0 - DELFI 2008 |Title=2nd Workshop of Web 2.0 and Social Software in Technology enhanced Learning"
    3 KB (342 words) - 16:32, 15 October 2008
  • IADIS Mobile Learning 2009
    |Acronym=IADIS Mobile Learning 2009 |Title=IADIS Mobile Learning 2009 International Conference
    6 KB (798 words) - 15:57, 13 February 2009
  • ICIW 2009
    ...ng, but also new challenges for software engineers and developers. Virtual Learning Environments have to be built bearing in mind their mandatory use through t **E-Learning
    18 KB (2,408 words) - 02:37, 16 December 2008
  • ISTA 2009
    * E-Learning and Web-enterprise training
    7 KB (763 words) - 12:25, 6 October 2011
  • ICLR 2018
    |Title=Sixth International Conference on Learning Representations |Field=machine learning, deep learning, learning
    679 bytes (83 words) - 18:18, 12 February 2020
  • DBKDA 2020
    ..., geospatial, space/; XML-data and process /data warehouse, workflow, web, learning, control/;
    11 KB (1,371 words) - 12:28, 18 May 2020
  • Research Group Interactive Systems and Interaction Design
    * [[Organizes::E-Learning 2.0 - DELFI 2008]]
    1 KB (163 words) - 12:11, 24 September 2008
  • F/OSS 2009
    ** Learning, knowledge sharing, collaboration, control or conflict in F/OSS projects ** Knowledge management, e-learning and F/OSS
    10 KB (1,349 words) - 16:42, 24 September 2008
  • AINA 2009
    * E-Learning, E-Commerce, E-Society, etc.
    34 KB (4,565 words) - 22:20, 10 January 2018
  • AINA 2008
    * E-Learning, E-Commerce, E-Society, etc.
    8 KB (1,037 words) - 22:20, 10 January 2018
  • AINA 2007
    * E-Learning, E-Commerce, E-Society, etc.
    9 KB (1,189 words) - 22:20, 10 January 2018
  • AINA 2006
    * E-Learning, E-Commerce, E-Society, etc.
    26 KB (3,456 words) - 22:20, 10 January 2018
  • AINA 2005
    * Distance Learning Systems
    10 KB (1,263 words) - 22:20, 10 January 2018
  • AINA 2004
    * Distance Learning Systems
    12 KB (1,537 words) - 22:19, 10 January 2018
  • WM 2009
    ...* CKME09 - 2nd Workshop on the Convergence of Knowledge Management and E-Learning
    1 KB (158 words) - 13:01, 2 March 2012
  • AINA 2003
    * Distance Learning Systems
    8 KB (1,040 words) - 22:20, 10 January 2018
  • ICML 2008
    |Title=25th International Conference On Machine Learning |Field=Machine learning
    5 KB (573 words) - 17:33, 26 September 2016
  • ICML
    |Title=International Conference on Machine Learning |Field=Machine learning
    295 bytes (40 words) - 09:18, 26 February 2020
  • ICML 2009
    |Title=26th International Conference On Machine Learning |Field=Machine learning
    5 KB (679 words) - 08:09, 11 July 2019
  • NAACL SSL-NLP 2009
    | Title = Workshop on Semi-supervised Learning for Natural Language Processing at NAACL HLT 2009 | Field = Machine learning
    7 KB (961 words) - 05:50, 14 October 2008
  • IDC 2009
    ...vestigation of technological and methodological issues related not only to learning and play, but also to social awareness of young people in relationship to e
    5 KB (631 words) - 05:50, 14 October 2008
  • MAXENT 2009
    [[Category:Machine learning]]
    2 KB (251 words) - 22:20, 14 October 2008
  • IADIS e-Learning 2009
    | Acronym = IADIS e-Learning 2009 | Title = IADIS International Conference e-Learning 2009
    4 KB (477 words) - 17:18, 14 October 2008
  • NAFIPS 2009
    * Computational Intelligence/Learning
    3 KB (427 words) - 16:42, 14 October 2008
  • GWR 2009
    ...ation, learning, and programming: Bayesian techniques, modeling, imitation learning, programming by demonstration.
    3 KB (459 words) - 17:26, 14 October 2008
  • GameNets 2009
    * Learning mechanisms in games
    6 KB (722 words) - 17:32, 14 October 2008
  • ICIAP 2009
    ...e vision, active vision, spatial reasoning, 2D and 3D modeling, perceptual learning.
    2 KB (268 words) - 17:47, 14 October 2008
  • SSCI 2009
    IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL 2009)
    3 KB (376 words) - 17:47, 14 October 2008
  • RSS 2009
    ...ms: ReinforcementLearning, BayesianTechniques, Graphical Models, Imitation Learning, Programming by Demonstration, Diagnostics
    2 KB (227 words) - 16:21, 28 June 2009
  • GEMS 2009
    approaches, collocational corpus analysis and machine learning; researchers understanding/summarization and ontology learning.
    6 KB (857 words) - 04:56, 15 September 2009
  • Cognitive 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
  • NIPS-WEHYS 2008
    | Title = NIPS Workshop on Learning over Empirical Hypothesis Spaces | Field = Machine learning
    3 KB (477 words) - 21:46, 14 October 2008
  • PERSUASIVE 2009
    * Learning through Persuasion * Education & Learning
    8 KB (989 words) - 20:13, 22 February 2009
  • ML 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
  • WCNC 2009
    • Machine learning for communication systems
    6 KB (731 words) - 10:33, 14 August 2023
  • INTERNET 2009
    ...dio networks: low power signal processing methods, applications of machine learning Streaming video: learning from video, techniques for in-network modulation
    11 KB (1,385 words) - 17:48, 14 October 2008
  • SIGMAP 2009
    * e-Learning, e-Commerce and e-Society Applications
    8 KB (1,026 words) - 17:48, 14 October 2008
  • OPT 2008
    | Title = Optimization for Machine Learning (NIPS Workshop 2008) | Field = Machine learning
    2 KB (214 words) - 21:28, 14 October 2008
  • VLDB 2009
    ...l be achieved within the chosen time period and the indication of the main learning outcomes. Proposals should also include contact information (name, email, a
    11 KB (1,527 words) - 10:03, 19 February 2021
  • STOC 2009
    ...cs, randomness in computing, parallel and distributed computation, machine learning, applications of logic, algorithmic algebra and coding theory, computationa
    6 KB (869 words) - 20:22, 22 February 2009
  • ACL2020
    * Machine Learning for NLP
    3 KB (368 words) - 02:02, 12 September 2019
  • BIH 2016
    * Computational mechanisms of learning and memory; * Learning mechanisms (e.g., stability, personalized user/student models);
    6 KB (692 words) - 23:59, 30 May 2016
  • ED-MEDIA 2009
    [[Category:Computer-based learning]]
    359 bytes (38 words) - 00:55, 2 February 2009
  • LTAL 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
  • UIC 2009
    * Pervasive Learning, Games, Entertainment
    7 KB (942 words) - 20:05, 14 October 2008
  • ECML PKDD 2009
    | Title = The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | Field = Machine learning
    1 KB (142 words) - 11:39, 17 October 2008
  • CSCWD 2009
    * Distance learning/training related to design
    5 KB (674 words) - 20:05, 14 October 2008
  • NAACL HLT 2009
    education and learning systems, assistive technologies, digital entertainment) - Statistical and machine learning techniques for language processing
    4 KB (570 words) - 14:02, 4 June 2020
  • CLAGI 2009
    There has been growing interest over the last few years in learning text). The family of techniques enabling such learning is usually
    6 KB (796 words) - 21:57, 14 October 2008
  • LaTeCH - SHELT&R 2009
    * Adapting existing NLP tools to the CH and SHE domains: machine learning and semantic web technologies
    7 KB (931 words) - 21:55, 14 October 2008
  • WIAMIS 2009
    * Relevance feedback and learning systems
    2 KB (295 words) - 07:56, 14 April 2011
  • KSM 2009
    ...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 Manag
    7 KB (872 words) - 20:05, 14 October 2008
  • KES IDT 2009
    ...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 dr
    3 KB (433 words) - 20:05, 14 October 2008
  • SWAP 2008
    # Semantic Web for e-business, e-science, e-government, and e-learning # Machine learning and human language technologies for the Semantic Web
    4 KB (450 words) - 20:05, 14 October 2008
  • SEA 2009
    * Computational Learning Theory * Machine Learning and Data Mining
    2 KB (216 words) - 20:05, 14 October 2008
  • TDMT 2011
    • E-learning, Multimedia conferencing, internet phones, and mail
    5 KB (530 words) - 10:27, 24 June 2011
  • IMS 2009
    * Machine Learning
    8 KB (1,068 words) - 21:43, 26 February 2011
  • ES 2009
    - Collaborative Learning - Virtual Learning Environments and Issues
    6 KB (780 words) - 20:06, 14 October 2008
  • IICAI 2009
    Learning and Adaptive Sensor Fusion Machine Learning
    3 KB (359 words) - 20:06, 14 October 2008
  • ECSQARU 2009
    | 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
  • GBR 2009
    - graph based learning, - graph learning and clustering,
    3 KB (344 words) - 00:44, 15 October 2008
  • ELi 2009 Riyadh 2009
    | Title = First International Conference on e-Learning and Distance Learning
    459 bytes (48 words) - 21:09, 14 October 2008
  • SMC 2009
    Machine Learning
    6 KB (708 words) - 22:49, 14 October 2008
  • HRI 2009
    Robot-team learning
    3 KB (379 words) - 22:42, 4 February 2009
  • HCIR 2008
    * Relevance feedback and active learning approaches for
    5 KB (575 words) - 22:45, 14 October 2008
  • CollaborateCom 2008
    * Collaborative e-education, e-learning, and collaborative computing in large scale digital libraries
    6 KB (674 words) - 22:45, 14 October 2008
  • IHC 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
  • ICMI 2008
    * AI & machine learning algorithms
    3 KB (312 words) - 22:53, 14 October 2008
  • Phonologization 2008
    ...certain patterns are difficult or impossible to acquire even from perfect learning data;
    4 KB (516 words) - 23:00, 14 October 2008
  • CDVE 2008
    �?� Cooperative learning,
    4 KB (468 words) - 22:54, 14 October 2008
  • HCI 2008
    * Learning and training for HCI
    3 KB (322 words) - 22:41, 4 February 2009
  • ICEIS 2008
    E-Learning and e-Teaching E-Learning
    9 KB (1,240 words) - 22:56, 14 October 2008
  • ICHSL 2008
    | Title = 6th International Conference on Human System Learning | Field = Machine learning
    3 KB (349 words) - 22:56, 14 October 2008
  • IASTED-HCI 2008
    Computer-based Learning Support for Creativity and Learning
    2 KB (304 words) - 22:56, 14 October 2008
  • ACHI 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
  • HRI 2008
    Robot-team learning
    2 KB (353 words) - 22:42, 4 February 2009
  • EACL 2009
    - machine learning and algorithms for natural language;
    6 KB (743 words) - 22:59, 14 October 2008
  • LASSO 2008
    ...nguage with non-academic areas, interdisciplinary collaborations, language learning communities, education and language policy, and non-traditional disseminati
    4 KB (601 words) - 23:00, 14 October 2008
  • Konvens 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
  • AILA 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
  • COLING 2008
    - machine learning for natural language;
    8 KB (1,140 words) - 00:14, 28 February 2020
  • LREC Wkshp Comparable Corpora 2008
    tools for language learning;
    5 KB (647 words) - 23:00, 14 October 2008
  • Prosody and Language Processing 2008
    ...ference is intended as a venue for exchanging ideas and methodologies, for learning about different perspectives, and most importantly, for stimulating discuss
    4 KB (570 words) - 23:00, 14 October 2008
  • Mediating Multilingualism 2008
    ...tic anthropology, discourse studies, pragmatics, ethnography, and language learning and teaching) are welcome. The main working language of the conference is E
    2 KB (199 words) - 23:00, 14 October 2008
  • CLS 2008
    * The role of learning in language change * Mathematical and computational models of language learning and evolution
    5 KB (668 words) - 23:00, 14 October 2008
  • ACL 2008
    * Statistical and machine learning techniques for language processing, including
    10 KB (1,326 words) - 23:19, 13 December 2017
  • WESLTL 2008
    | Title = World Englishes and Second Language Teaching and Learning
    516 bytes (56 words) - 23:01, 14 October 2008
  • ETL 2008
    | Title = 25th Conference of English Teaching and Learning
    570 bytes (65 words) - 23:01, 14 October 2008
  • IVACS 2008
    learning; learner corpora; testing; teacher education;
    3 KB (410 words) - 23:01, 14 October 2008
  • Cognitive Science 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 d
    4 KB (530 words) - 23:01, 14 October 2008
  • LATA 2008
    - grammatical inference and algorithmic learning
    6 KB (788 words) - 23:01, 14 October 2008
  • JNLE 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 provers
    3 KB (476 words) - 23:01, 14 October 2008
  • ICPLJ 2008
    ...ching Japanese as a second/foreign language and computer-assisted language learning (CALL) technology.
    1 KB (182 words) - 23:01, 14 October 2008
  • AColl 2007
    ...properties of semantic theories, philosophical foundations, evolution and learning of language).''
    1 KB (143 words) - 19:12, 12 November 2020
  • CASLA 2008
    The psycholinguistic and cognitive processes underlying the learning of a practitioners involved in language pedagogy, i.e. Foreign Language Learning
    9 KB (1,256 words) - 10:56, 20 November 2020
  • Speech Sciences in Linguistics 2008
    ...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
  • IDA 2009
    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
  • HIS 2009
    -Intelligent Machine Learning ...event.showcfp?eventid=3636&copyownerid=1690 WikiCFP][[Category:Machine learning]]
    2 KB (231 words) - 23:03, 14 October 2008
  • AIME 2009
    Machine Learning, Knowledge Discovery and Data Mining
    7 KB (924 words) - 23:03, 14 October 2008
  • IJCAI 2009
    ...event.showcfp?eventid=3554&copyownerid=1513 WikiCFP][[Category:Machine learning]]
    7 KB (1,077 words) - 23:03, 14 October 2008
  • CORES 2009
    * Machine learning [[Category:Machine learning]]
    6 KB (840 words) - 16:42, 27 December 2015
  • FDG 2009
    ...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
  • IJCNN 2009
    |Field=Machine learning ...cognitive science and cognitive modeling (language, reasoning,perception, learning, consciousness,emotion, etc.)
    2 KB (199 words) - 18:55, 7 March 2020
  • ISNN 2009
    ...event.showcfp?eventid=3668&copyownerid=1513 WikiCFP][[Category:Machine learning]]
    3 KB (392 words) - 23:07, 14 October 2008
  • ESANN 2009
    ...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. Mathema
    4 KB (469 words) - 23:05, 14 October 2008
  • AISTATS 2009
    * Active learning and experimental design * Cluster analysis and unsupervised learning
    3 KB (341 words) - 19:39, 26 February 2020
  • EVOSTAR 2009
    ...event.showcfp?eventid=3637&copyownerid=1690 WikiCFP][[Category:Machine learning]]
    569 bytes (70 words) - 11:55, 9 July 2020
  • ADPRL 2009
    | 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
  • EGC 2009
    is devoted to theories, methods and applications of Data Mining, Machine Learning, Knowledge Discovery in Databases, Knowledge
    2 KB (286 words) - 11:44, 18 October 2008
  • ICANNGA'09
    | Field = Machine learning
    641 bytes (70 words) - 23:04, 14 October 2008
  • PAKDD 2009
    KDD-related areas including data mining, data warehousing, machine learning, databases, A7. Machine Learning
    2 KB (295 words) - 12:03, 18 October 2008
  • ASPOCP 2008
    - ASP and machine learning.
    5 KB (645 words) - 23:04, 14 October 2008
  • AIAI 2009
    Machine Learning Knowledge management for e-Learning & enterprise portals
    8 KB (1,111 words) - 23:04, 14 October 2008
  • IITA 2008
    T-2 Machine Learning
    1 KB (132 words) - 23:04, 14 October 2008
  • ICONIP 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
  • NDNN 2008
    [[Category:Machine learning]]
    592 bytes (65 words) - 23:04, 14 October 2008
  • KAM 2008
    Knowledge capture through machine learning and knowledge discovery in data bases Inclusive learning
    2 KB (314 words) - 23:04, 14 October 2008
  • FLOW 2008
    Intelligence / Machine Learning �conferences in the following popular
    5 KB (696 words) - 18:29, 8 November 2008
  • ICAART 2009
    ...ing the more traditional areas such as Knowledge Representation, Planning, Learning, Scheduling, Perception and also not so traditional areas such as Reactive - Machine Learning
    18 KB (2,457 words) - 23:04, 14 October 2008
  • CIG 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
  • IAT 2008
    - Learning and Self-Adaptation in Multi-Agent Systems - Reinforcement Learning
    12 KB (1,601 words) - 23:04, 14 October 2008
  • SAMT 2008
    ** Machine Learning and relevance feedback for finding semantics ** Inference and machine learning for semi-automatic annotation
    4 KB (490 words) - 16:48, 15 October 2008
  • DIGITEL 2008
    ...nd IEEE International Conference on Digital Game and Intelligent Toy Based Learning
    591 bytes (67 words) - 23:04, 14 October 2008
  • IBERAMIA 2008
    * Machine learning and data mining
    2 KB (262 words) - 23:04, 14 October 2008
  • ISWC 2008
    ** Machine learning and information extraction for the Semantic Web
    6 KB (854 words) - 12:05, 28 May 2016
  • AIG 2008
    ..., 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
  • AIMSA 2008
    - Machine learning - Semantic web for e-business and e-learning
    6 KB (827 words) - 23:04, 14 October 2008
  • KR 2008
    KR and Machine learning, Inductive logic programming, Knowledge discovery and acquisition
    3 KB (430 words) - 16:44, 4 November 2016
  • UAI 2008
    | Field = Machine learning ...t report on theoretical or methodological advances in modeling, inference, learning and decision making under uncertainty. Submissions reporting on novel and i
    4 KB (590 words) - 23:05, 14 October 2008
  • COLT 2008
    |Field=Computational Learning Theory
    247 bytes (28 words) - 14:03, 6 October 2016
  • COLT 1994
    |Field=Computational Learning Theory
    236 bytes (30 words) - 14:03, 6 October 2016
  • AIPR 2008
    * Learning and adaptive sensor fusion * Machine learning
    3 KB (346 words) - 23:05, 14 October 2008
  • ANNPR 2008
    Supervised and unsupervised learning. Combinations of supervised and unsupervised learning.
    4 KB (572 words) - 23:05, 14 October 2008
  • Computer Journal 2008
    * Learning and adaptivity
    4 KB (536 words) - 17:55, 10 February 2021
  • CiE 2008
    * Computational learning and complexity
    5 KB (619 words) - 18:06, 10 February 2021
  • HCP 2008
    ...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
  • CVPR 2008
    Statistical Methods and Learning [[Category:Machine learning]]
    3 KB (339 words) - 13:28, 16 November 2020
  • ICINCO 2008
    Machine learning in control applications Hybrid learning systems
    5 KB (634 words) - 23:05, 14 October 2008
  • FLAIRS 2008
    Learning
    1 KB (139 words) - 23:05, 14 October 2008
  • EuroGP 2008
    Machine Learning and Data Mining in Bioinformatics).
    4 KB (563 words) - 12:00, 9 July 2020
  • AAMAS 2008
    Learning - learning (single and multi-agent)
    2 KB (334 words) - 17:14, 12 November 2020
  • ECIR 2008
    ...uestion answering and information extraction. Text Data Mining and Machine Learning for IR.
    3 KB (399 words) - 23:05, 14 October 2008
  • PAKDD 2008
    ...rom all KDD related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discove
    2 KB (306 words) - 12:02, 18 October 2008
  • NIML 2007
    |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
  • ELEX 2009
    * Integration of electronic dictionaries into language learning and teaching (CALL, translator training, etc.)
    6 KB (700 words) - 23:06, 14 October 2008
  • LATA 2009
    - grammatical inference and algorithmic learning
    7 KB (994 words) - 23:06, 14 October 2008
  • IWCS 2009
    * machine learning of semantic structures
    5 KB (726 words) - 17:37, 9 January 2009
  • CBA 2008
    exploit annotated data in order to make the most of machine learning - Learning features from annotated/raw corpora
    4 KB (584 words) - 23:06, 14 October 2008
  • Corpus Profiling 2008
    * Learnability of features (cf. meta-level learning for
    6 KB (729 words) - 23:06, 14 October 2008
  • QGTEC 2008
    Question Generation is an essential component of learning environments, help systems, information seeking systems, multi-modal conver
    4 KB (533 words) - 23:06, 14 October 2008
  • EMNLP 2008
    * general NLP-related machine learning techniques: theory, methods and algorithms
    4 KB (487 words) - 13:10, 19 February 2020
  • EMNLP 2009
    *Statistical and Machine Learning Methods
    1 KB (170 words) - 14:42, 19 February 2020
  • TC 2008
    e-Learning of translators
    4 KB (576 words) - 23:06, 14 October 2008
  • AMTA 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, paten
    16 KB (2,200 words) - 20:51, 18 February 2021
  • HLIE08
    ...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 freque
    4 KB (485 words) - 23:06, 14 October 2008
  • PsychoCompLA 2008
    on Computational Natural Language Learning (CoNLL-2005), and PsychoCompLA-2007 thriving research agenda that applies computational learning techniques to
    8 KB (1,014 words) - 23:06, 14 October 2008
  • ICGI 2008
    ...tal versus non-incremental learning, distribution-free models of learning, learning under various distributional assumptions, learnability results, complexity
    4 KB (505 words) - 23:06, 14 October 2008
  • FSMNLP 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
  • STEP 2008
    - learning semantic representations from raw text
    7 KB (856 words) - 23:06, 14 October 2008
  • CogALex 2008
    science, psycholinguistics, language learning, and ergonomics. We
    8 KB (1,099 words) - 23:06, 14 October 2008
  • MMIES2 2008
    - What machine learning approaches are most appropriate for this task --
    8 KB (992 words) - 23:07, 14 October 2008
  • PKTLP 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 rich
    5 KB (758 words) - 23:07, 14 October 2008
  • WEM 2008
    * Machine Learning and Data Mining: applications of ML/DM to email, including information extr
    5 KB (668 words) - 17:01, 24 February 2016
  • TIR 2008
    research but uses methods from different areas: machine learning, computer
    4 KB (468 words) - 23:07, 14 October 2008
  • MALINDO 2008
    recognition, speech synthesis, character recognition, e-learning,
    7 KB (831 words) - 23:07, 14 October 2008
  • WIKIAI 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
  • PaGe 2008
    balancing the considerations of what structure merits learning versus
    5 KB (683 words) - 23:07, 14 October 2008
  • SIGMORPHON 2008
    * Probabilistic models and machine learning * Unsupervised or semi-supervised learning of linguistic knowledge
    7 KB (908 words) - 23:07, 14 October 2008
  • SSST-2 2008
    arguably offer a much greater potential for learning valid * machine learning techniques for inducing structured translation
    4 KB (586 words) - 23:07, 14 October 2008
  • BEA 2008
    * Knowledge representation in learning systems * Visualization of concepts in learning systems
    6 KB (825 words) - 17:06, 27 December 2015
  • NLPCS 2008
    �?� Computer Assisted Language Learning
    8 KB (1,096 words) - 23:07, 14 October 2008
  • PaPa 2008
    machine learning, hybrid;
    5 KB (589 words) - 23:07, 14 October 2008
  • SigDial 2008
    * Corpus-based techniques and analysis (including machine learning);
    5 KB (646 words) - 14:36, 15 June 2020
  • TCS 2008
    graph and optimization algorithms; Computational learning
    5 KB (698 words) - 23:08, 14 October 2008
  • SPLT 2008
    - Ontology learning from legal texts, including sub-areas such as ontology customization, ontol
    7 KB (1,016 words) - 23:08, 14 October 2008
  • IIS 2008
    * new machine learning paradigms,
    2 KB (183 words) - 23:08, 14 October 2008
  • NLDB 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
  • CORIA 2008
    * Machine learning, Classification, Clustering, Ranking, Filtering, Spam Detection, Topic Dete
    3 KB (401 words) - 23:08, 14 October 2008
  • DH 2008
    * text analysis, corpora, corpus linguistics, language processing, language learning
    7 KB (1,033 words) - 23:08, 14 October 2008
  • Journal of Information Technology & Poli 2008
    and machine learning. These techniques facilitate the automatic (i.e. via "supervised" machine learning methods), or
    5 KB (682 words) - 09:30, 28 August 2020
  • AFRICOMM 2011
    * Experiences and applications in areas such as: e-health, e-learning, e-agriculture, e-government, and e-participation
    9 KB (1,127 words) - 17:19, 26 April 2011
  • DBRank 2009
    Learning user preferences and ranking functions
    4 KB (570 words) - 11:48, 18 October 2008
  • ICDM 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
  • ECML PKDD 2008
    | Title = The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases | Field = Machine learning
    528 bytes (56 words) - 11:38, 17 October 2008
  • TLAD 2008
    | Title = Sixth International Workshop on Teaching, Learning and Assessment of Databases
    563 bytes (66 words) - 23:09, 14 October 2008
  • ICDIM 2008
    - E-Learning, eCommerce, e-Business and e-Government Sheridan Institute of Technology and Advanced Learning
    4 KB (595 words) - 23:09, 14 October 2008
  • DILS 2008
    * Machine learning in data integration in the life sciences
    3 KB (419 words) - 23:10, 14 October 2008
  • ADW 2008
    Aspects of the Web (SAW 2008) and on E-Learning for Business Needs).
    7 KB (875 words) - 23:10, 14 October 2008
  • DBRank 2008
    * Learning user preferences and ranking functions
    4 KB (517 words) - 15:26, 16 December 2020
  • DS2ME 2008
    ...l services and systems in various application fields such as e-Commerce, e-Learning or transport systems. However, such systems constrained resources in terms
    2 KB (324 words) - 16:49, 16 December 2020
  • I2LOR 2007
    | 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, Quebe
    4 KB (503 words) - 23:11, 14 October 2008
  • ICACT 2009
    19. e-Commerce, Mobile Commerce, e-Government, e-Learning and e-Health
    2 KB (200 words) - 23:11, 14 October 2008
  • ISABEL'08
    :: Machine Learning for Cognitive Radio
    6 KB (753 words) - 23:11, 14 October 2008
  • BIONETICS 2008
    �?� Self-learning defense strategies
    5 KB (694 words) - 23:11, 14 October 2008
  • ISPACS 2008
    5. Multimedia Processing for e-Learning
    4 KB (496 words) - 23:12, 14 October 2008
  • CoNLL 2019
    |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
  • CoNLL 2018
    |Title=Conference on Natural Language Learning The '''22nd Conference on Computational Natural Language Learning'''
    612 bytes (81 words) - 12:04, 13 March 2020
  • CoNLL 2017
    |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
  • AAWSE 2008
    * Agent Learning Models for Autonomic Web-Services
    3 KB (415 words) - 23:13, 14 October 2008
  • NEFORS 2008
    * Computational Learning Theory has contributions to make with their
    7 KB (984 words) - 23:13, 14 October 2008
  • CIAWES 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
  • WSDM 2009
    *Ranking and machine learning for ranking
    2 KB (237 words) - 12:23, 11 September 2020
  • SWSC 2008
    ...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
  • ICLR 2019
    |Title=Seventh International Conference on Learning Representations |Field=machine learning, deep learning, learning
    2 KB (245 words) - 10:52, 12 May 2020
  • SIRTEL 2008
    | 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
  • NWeSP 2008
    Web Based e-Commerce, e-learning applications
    3 KB (494 words) - 23:16, 14 October 2008
  • ICPW 2008
    * Learning
    9 KB (1,139 words) - 23:14, 14 October 2008
  • MSoDa 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 a
    3 KB (453 words) - 23:14, 14 October 2008
  • KASW 2008
    - Folksonomies and Ontology learning
    7 KB (950 words) - 23:14, 14 October 2008
  • SPeL 2008
    ...International Workshop on Social and Personal Computing for Web-Supported Learning Communities
    586 bytes (67 words) - 23:14, 14 October 2008
  • SemWiki 2008
    * E-learning
    5 KB (709 words) - 19:41, 22 February 2009
  • ICWL 2008
    | Title = International Conference on Web-based Learning | Field = Machine learning
    592 bytes (67 words) - 23:14, 14 October 2008
  • SAW 2008
    Accessing the Deep Web (ADW 2008) and on E-Learning for Business Needs).
    7 KB (860 words) - 11:55, 7 January 2009
  • VEWAeL 2008
    ...International Workshop on Virtual Environments and Web Applications for e-Learning
    584 bytes (67 words) - 23:14, 14 October 2008
  • TMW 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 this
    4 KB (546 words) - 23:14, 14 October 2008
  • ITW 2009
    * Pattern recognition and learning
    3 KB (308 words) - 23:15, 14 October 2008
  • AAMAS 2020
    * Norm learning and emergence <big>Area 6 – Learning and Adaptation
    6 KB (659 words) - 17:41, 11 February 2021
  • CollarborateCom 2008
    * Collaborative e-education, e-learning, and collaborative computing in large scale digital libraries
    8 KB (1,093 words) - 23:15, 14 October 2008
  • FIMN 2008
    Modelling user behaviour and learning about user profiles from logs and past
    4 KB (563 words) - 23:15, 14 October 2008
  • ECML PKDD 2001
    |Field=Machine learning
    201 bytes (23 words) - 15:36, 25 September 2016
  • ECML PKDD 2005
    |Field=Machine learning
    195 bytes (23 words) - 15:36, 25 September 2016
  • PKDD 1998
    |Field=Machine learning
    158 bytes (19 words) - 15:36, 25 September 2016
  • EWSL 1987
    |Field=Machine learning
    161 bytes (19 words) - 15:39, 25 September 2016
  • ECML PKDD 2012
    |Field=Machine learning
    155 bytes (19 words) - 15:37, 25 September 2016
  • EWSL 1986
    |Field=Machine learning
    153 bytes (19 words) - 15:37, 25 September 2016
  • CIVR 2009
    * Learning and relevance feedback in image/video retrieval
    3 KB (343 words) - 23:16, 14 October 2008
  • SIGIR 2009
    Techniques. Machine learning for IR, learning to rank, clustering, IR scalability and efficiency, adversarial IR, user
    3 KB (336 words) - 10:34, 13 May 2020
  • ICDAR 2009
    ...et/event.showcfp?eventid=2314&amp;copyownerid=2 WikiCFP][[Category:Machine learning]]
    2 KB (280 words) - 23:16, 14 October 2008
  • WSCD 2009
    * learning to rank [[Category:Machine learning]]
    3 KB (467 words) - 23:16, 14 October 2008
  • DIR 2009
    * Machine Learning for IR
    3 KB (368 words) - 23:16, 14 October 2008
  • TLIR 2008
    | Title = Second International Workshop on Teaching and Learning of Information Retrieval Learning of Information Retrieval
    6 KB (898 words) - 23:16, 14 October 2008
  • ICWI 2008
    ...cated with the IADIS International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2008) (http://www.celda-conf.org/) - participants of
    3 KB (345 words) - 18:20, 31 August 2011
  • WIR 2008
    "Learning, Knowledge and Adaptivity" (LWA, 6.-8. Oct. 2008 at the -Machine learning in information retrieval
    5 KB (690 words) - 23:16, 14 October 2008

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