71 search results - page 8 / 15 » A Causal Bayesian Network View of Reinforcement Learning |
BMCBI
2010
14 years 9 months ago
2010
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
87
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ISMDA
2001
Springer
15 years 2 months ago
2001
Springer
Abstract. Due to the uncertain nature of many of the factors that influence on the performance of an emergency medical service, we propose using Bayesian networks to model this ki...
123
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BERTINORO
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. This paper describes the application of a decentralised coordination algorithm, called Collaborative Reinforcement Learning (CRL), to two different distributed system pr...
80
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FLAIRS
2003
14 years 11 months ago
2003
This paper presents a number of new algorithms for discovering the Markov Blanket of a target variable T from training data. The Markov Blanket can be used for variable selection ...
70
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KES
2007
Springer
15 years 3 months ago
2007
Springer
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...