70 search results - page 1 / 14 » Bottom-Up Learning of Markov Network Structure |
94
Voted
ICML
2010
IEEE
15 years 21 days ago
2010
IEEE
The structure of a Markov network is typically learned using top-down search. At each step, the search specializes a feature by conjoining it to the variable or feature that most ...
91
Voted
ICML
2008
IEEE
16 years 13 days ago
2008
IEEE
119
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ICMLA
2010
14 years 9 months ago
2010
Markov Logic Networks (MLNs) combine Markov Networks and first-order logic by attaching weights to firstorder formulas and viewing them as templates for features of Markov Networks...
90
Voted
ECML
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
ICML
2007
IEEE
16 years 13 days ago
2007
IEEE
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...