994 search results - page 159 / 199 » Modeling and Inference with Relational Dynamic Bayesian Netw... |
IDEAL
2004
Springer
15 years 6 months ago
2004
Springer
Building genetic regulatory networks from time series data of gene expression patterns is an important topic in bioinformatics. Probabilistic Boolean networks (PBNs) have been deve...
165
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AI
1998
Springer
15 years 1 months ago
1998
Springer
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
111
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BIOINFORMATICS
2006
15 years 1 months ago
2006
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
130
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ESANN
2004
15 years 2 months ago
2004
When we talk about using neural networks for data mining we have in mind the original data mining scope and challenge. How did neural networks meet this challenge? Can we run neura...
152
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TSMC
2010
14 years 8 months ago
2010
In mobile ad hoc networks, nodes have the inherent ability to move. Aside from conducting attacks to maximize their utility and cooperating with regular nodes to deceive them, mali...