123 search results - page 6 / 25 » Learning the structure of Markov logic networks |
101
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AAAI
2012
13 years 2 months ago
2012
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
JMLR
2008
14 years 11 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...
165
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DSS
2011
14 years 3 months 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 ...
115
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PKDD
2010
Springer
14 years 10 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 ...
ICML
2008
IEEE
16 years 13 days ago
2008
IEEE
We propose Laplace max-margin Markov networks (LapM3 N), and a general class of Bayesian M3 N (BM3 N) of which the LapM3 N is a special case with sparse structural bias, for robus...