564 search results - page 17 / 113 » Approximation algorithms for restricted Bayesian network str... |
ICIP
2002
IEEE
16 years 2 months ago
2002
IEEE
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...
120
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BIBE
2008
IEEE
15 years 2 months ago
2008
IEEE
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
IJAR
2008
15 years 14 days ago
2008
This paper presents a family of algorithms for approximate inference in credal networks (that is, models based on directed acyclic graphs and set-valued probabilities) that contai...
110
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FEGC
2008
15 years 1 months ago
2008
We propose a novel algorithm for extracting the structure of a Bayesian network from a dataset. Our approach is based on generalized conditional entropies, a parametric family of e...
73
Voted
ISMDA
2001
Springer
15 years 4 months ago
2001
Springer
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...