101 search results - page 12 / 21 » Multi-task reinforcement learning: a hierarchical Bayesian a... |
99
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ATAL
2010
Springer
14 years 10 months ago
2010
Springer
PAC-MDP algorithms approach the exploration-exploitation problem of reinforcement learning agents in an effective way which guarantees that with high probability, the algorithm pe...
IEEEPACT
2008
IEEE
15 years 4 months ago
2008
IEEE
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
106
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ICML
2000
IEEE
15 years 10 months ago
2000
IEEE
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We propose a novel unsupervised learning framework for activity perception. To understand activities in complicated scenes from visual data, we propose a hierarchical Bayesian mod...
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
We present an algorithmic framework for supervised classification learning where the set of labels is organized in a predefined hierarchical structure. This structure is encoded b...