2868 search results - page 115 / 574 » Inference in Bayesian Networks |
162
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ML
2006
ACM
15 years 6 months ago
2006
ACM
We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
158
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NDSS
2007
IEEE
16 years 18 days ago
2007
IEEE
Encouraging the release of network data is central to promoting sound network research practices, though the publication of this data can leak sensitive information about the publ...
192
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IJAR
2010
15 years 4 months ago
2010
We consider the problem of learning Bayesian network models in a non-informative setting, where the only available information is a set of observational data, and no background kn...
171
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ILP
2005
Springer
15 years 11 months ago
2005
Springer
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...