123 search results - page 1 / 25 » Learning the structure of Markov logic networks |
110
Voted
ICMLA
2010
14 years 8 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...
81
Voted
ICML
2008
IEEE
15 years 11 months ago
2008
IEEE
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
86
Voted
ICML
2007
IEEE
15 years 11 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...
103
Voted
ECAI
2008
Springer
15 years 20 days ago
2008
Springer
Many real-world applications of AI require both probability and first-order logic to deal with uncertainty and structural complexity. Logical AI has focused mainly on handling com...