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• 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

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