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118
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ATAL
2005
Springer
15 years 10 months ago
2005
Springer
In many multi agent learning problems, it is difficult to determine, a priori, the agent reward structure that will lead to good performance. This problem is particularly pronoun...
126
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AIPS
2004
15 years 6 months ago
2004
We describe and evaluate a system for learning domainspecific control knowledge. In particular, given a planning domain, the goal is to output a control policy that performs well ...
129
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ICPR
2008
IEEE
16 years 5 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
109
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ISMDA
2001
Springer
15 years 9 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
160
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ICIP
2010
IEEE
15 years 2 months ago
2010
IEEE
This paper proposes a new texture classification approach. There are two main contributions in the proposed method. First, input texture images are transformed to the composite Fo...