124 search results - page 6 / 25 » Bottom-up learning of Markov logic network structure |
FLAIRS
2008
14 years 11 months ago
2008
Combining probability and first-order logic has been the subject of intensive research during the last ten years. The most well-known formalisms combining probability and some sub...
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ECSQARU
2009
Springer
15 years 4 months ago
2009
Springer
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
JMLR
2008
14 years 9 months ago
2008
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
146
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DSS
2011
14 years 29 days ago
2011
Abstract: Much has been written about word of mouth and customer behavior. Telephone call detail records provide a novel way to understand the strength of the relationship between ...
PKDD
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. A new method is proposed for compiling causal independencies into Markov logic networks (MLNs). An MLN can be viewed as compactly representing a factorization of a joint ...