564 search results - page 20 / 113 » Approximation algorithms for restricted Bayesian network str... |
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KDD
2006
ACM
16 years 26 days ago
2006
ACM
Statistics on networks have become vital to the study of relational data drawn from areas such as bibliometrics, fraud detection, bioinformatics, and the Internet. Calculating man...
124
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JMLR
2010
14 years 7 months ago
2010
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
94
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UAI
1994
15 years 1 months ago
1994
We show how to nd a minimum weight loop cutset in a Bayesian network with high probability. Finding such a loop cutset is the rst step in the method of conditioning for inference....
129
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IPSN
2009
Springer
15 years 7 months ago
2009
Springer
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
108
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CMSB
2009
Springer
15 years 7 months ago
2009
Springer
Systems of ordinary differential equations (ODEs) are often used to model the dynamics of complex biological pathways. We construct a discrete state model as a probabilistic appro...