70 search results - page 1 / 14 » Bottom-Up Learning of Markov Network Structure |
105
Voted
ICML
2010
IEEE
15 years 1 months 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 ...
98
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
125
Voted
ICMLA
2010
14 years 10 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...
ECML
2006
Springer
15 years 4 months ago
2006
Springer
Abstract. We propose a simple and efficient approach to building undirected probabilistic classification models (Markov networks) that extend na
102
click to vote
ICML
2007
IEEE
16 years 1 months 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...