3643 search results - page 274 / 729 » Learning Submodular Functions |
161
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
We present a method for parameter learning in relational Bayesian networks (RBNs). Our approach consists of compiling the RBN model into a computation graph for the likelihood fun...
170
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ICML
2002
IEEE
16 years 7 months ago
2002
IEEE
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
168
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ADMA
2006
Springer
16 years 18 days ago
2006
Springer
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
153
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COLT
2005
Springer
16 years 5 days ago
2005
Springer
We study the problem of learning a kernel which minimizes a regularization error functional such as that used in regularization networks or support vector machines. We consider thi...
170
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IVA
2005
Springer
16 years 3 days ago
2005
Springer
In this paper, we propose a new integration approach to simulate an Autonomous Virtual Agent's cognitive learning of a task for interactive Virtual Environment applications. O...