Learning sparse structural changes in high-dimensional Markov networks
نویسندگان
چکیده
منابع مشابه
Learning Markov Logic Networks Using Structural Motifs
Markov logic networks (MLNs) use firstorder formulas to define features of Markov networks. Current MLN structure learners can only learn short clauses (4-5 literals) due to extreme computational costs, and thus are unable to represent complex regularities in data. To address this problem, we present LSM, the first MLN structure learner capable of efficiently and accurately learning long clause...
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ژورنال
عنوان ژورنال: Behaviormetrika
سال: 2017
ISSN: 0385-7417,1349-6964
DOI: 10.1007/s41237-017-0014-z