106 search results - page 8 / 22 » The max-min hill-climbing Bayesian network structure learnin... |
CIDM
2007
IEEE
15 years 3 months ago
2007
IEEE
— We present K2GA, an algorithm for learning Bayesian network structures from data. K2GA uses a genetic algorithm to perform stochastic search, while employing a modified versio...
ISMDA
2001
Springer
15 years 1 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...
119
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AMAI
2008
Springer
14 years 9 months ago
2008
Springer
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
PPSN
2004
Springer
15 years 2 months ago
2004
Springer
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
105
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ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Bayesian network classifiers have been widely used for classification problems. Given a fixed Bayesian network structure, parameters learning can take two different approaches: ge...