2103 search results - page 22 / 421 » Approximate Learning of Dynamic Models |
113
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WSC
2008
15 years 4 months ago
2008
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
111
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FLAIRS
2009
14 years 11 months ago
2009
Partially observable stochastic games (POSGs) provide a rich mathematical framework for planning under uncertainty by a group of agents. However, this modeling advantage comes wit...
87
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CORR
2010
Springer
15 years 2 months ago
2010
Springer
In practical nonlinear filtering, the assessment of achievable filtering performance is important. In this paper, we focus on the problem of how to efficiently approximate the post...
123
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ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
Learning communities from a graph is an important problem in many domains. Different types of communities can be generalized as link-pattern based communities. In this paper, we p...
130
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JMLR
2006
15 years 1 months ago
2006
The goal of active learning is to determine the locations of training input points so that the generalization error is minimized. We discuss the problem of active learning in line...