682 search results - page 24 / 137 » Gene networks inference using dynamic Bayesian networks |
157
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AIIA
2003
Springer
15 years 9 months ago
2003
Springer
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
150
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ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
174
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AI
2010
Springer
15 years 4 months ago
2010
Springer
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
136
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one...
143
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IPPS
2007
IEEE
15 years 11 months ago
2007
IEEE
Optical Multistage Interconnection Networks (MINs) suffer from optical-loss during switching and crosstalk problem in the switches. The crosstalk problem is solved by routing mess...