1340 search results - page 107 / 268 » Structure learning of Bayesian networks using constraints |
144
Voted
JAIR
2008
15 years 3 months ago
2008
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents' beliefs and decision-making processes....
144
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AMAI
1999
Springer
15 years 3 months ago
1999
Springer
The paper focuses on evaluating constraint satisfaction search algorithms on application based random problem instances. The application we use is a well-studied problem in the el...
149
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JMLR
2010
14 years 10 months ago
2010
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
132
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
123
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CMOT
1999
15 years 3 months ago
1999
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...