508 search results - page 73 / 102 » Learning for stochastic dynamic programming |
120
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PKDD
2010
Springer
15 years 10 days ago
2010
Springer
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
129
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FGR
2006
IEEE
15 years 8 months ago
2006
IEEE
While there has been a great deal of research in face detection and recognition, there has been very limited work on identifying the expression on a face. Many current face detect...
171
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CVPR
2012
IEEE
13 years 4 months ago
2012
IEEE
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
127
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PKDD
2009
Springer
15 years 8 months ago
2009
Springer
Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
ICPR
2008
IEEE
15 years 8 months ago
2008
IEEE
The problem of finding the most appropriate subset of features or regressors is the generic challenge of Machine Learning problems like regression estimation or pattern recognitio...