68 search results - page 4 / 14 » Bayesian structure discovery in Bayesian networks with less ... |
AUSAI
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
PPSN
2004
Springer
14 years 21 days 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...
BMCBI
2007
13 years 7 months ago
2007
Background: Transcriptional modules (TM) consist of groups of co-regulated genes and transcription factors (TF) regulating their expression. Two high-throughput (HT) experimental ...
IJDMMM
2010
2010
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
13 years 5 months ago
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
AI
2002
Springer
13 years 7 months ago
2002
Springer
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...