319 search results - page 19 / 64 » Learning Equivalence Classes of Bayesian Network Structures |
102
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AUSAI
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
123
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UAI
1998
15 years 1 months ago
1998
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
110
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CIDM
2009
IEEE
15 years 6 months ago
2009
IEEE
Abstract— A Bayes net has qualitative and quantitative aspects: The qualitative aspect is its graphical structure that corresponds to correlations among the variables in the Baye...
ML
2010
ACM
14 years 10 months ago
2010
ACM
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with...
ECSQARU
2003
Springer
15 years 4 months ago
2003
Springer
New standards in document representation, like for example SGML, XML, and MPEG-7, compel Information Retrieval to design and implement models and tools to index, retrieve and prese...