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CVPR
2010
IEEE
15 years 2 months ago
P-N learning: Bootstrapping binary classifiers by structural constraints
This paper shows that the performance of a binary classifier can be significantly improved by the processing of structured unlabeled data, i.e. data are structured if knowing the ...
Zdenek Kalal, Jiri Matas, Krystian Mikolajczyk
131
Voted
PPSN
2004
Springer
15 years 9 months ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
GCC
2003
Springer
15 years 9 months ago
Research and Design of Remote Education System Based on CSCW
Guided by the cooperation theory, this paper puts forward an interactive and cooperative learning environment design that is based on the self-learning mode and cooperative learnin...
Chunzhi Wang, Miao Shao, Jing Xia, Huachao Chen
NIPS
2007
15 years 5 months ago
Incremental Natural Actor-Critic Algorithms
We present four new reinforcement learning algorithms based on actor-critic and natural-gradient ideas, and provide their convergence proofs. Actor-critic reinforcement learning m...
Shalabh Bhatnagar, Richard S. Sutton, Mohammad Gha...
COLT
2010
Springer
15 years 2 months ago
Regret Minimization With Concept Drift
In standard online learning, the goal of the learner is to maintain an average loss that is "not too big" compared to the loss of the best-performing function in a fixed...
Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jenni...