1340 search results - page 86 / 268 » Structure learning of Bayesian networks using constraints |
101
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MINENET
2006
ACM
15 years 5 months ago
2006
ACM
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
DSS
2008
14 years 12 months ago
2008
As the Web continues to grow, it has become increasingly difficult to search for relevant information using traditional search engines. Topic-specific search engines provide an al...
107
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NIPS
2008
15 years 1 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
ICML
2005
IEEE
16 years 20 days ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
ICDM
2010
IEEE
14 years 9 months ago
2010
IEEE
Traditional Markov network structure learning algorithms perform a search for globally useful features. However, these algorithms are often slow and prone to finding local optima d...