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» Problems of learning in multi-agent systems
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145
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IROS
2006
IEEE
107views Robotics» more  IROS 2006»
15 years 11 months ago
Learning Sensory-Motor Maps for Redundant Robots
— Humanoid robots are routinely engaged in tasks requiring the coordination between multiple degrees of freedom and sensory inputs, often achieved through the use of sensorymotor...
Manuel Lopes, José Santos-Victor
ICML
1999
IEEE
16 years 5 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 5 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
MM
2005
ACM
171views Multimedia» more  MM 2005»
15 years 10 months ago
Semantic manifold learning for image retrieval
Learning the user’s semantics for CBIR involves two different sources of information: the similarity relations entailed by the content-based features, and the relevance relatio...
Yen-Yu Lin, Tyng-Luh Liu, Hwann-Tzong Chen
131
Voted
HICSS
2003
IEEE
106views Biometrics» more  HICSS 2003»
15 years 10 months ago
Is web-based seminar an effective way of learning in adult education?
The Internet can be used to solve pedagogical problems. To give an example, seminars for crowded courses exceeding a hundred participants would not be possible without web-based a...
Pekka Makkonen