40 search results - page 3 / 8 » Real-World Learning with Markov Logic Networks |
ICML
2009
IEEE
14 years 6 months ago
2009
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. Learning ML...
ICML
2010
IEEE
13 years 6 months ago
2010
IEEE
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 extre...
AAAI
2010
13 years 6 months ago
2010
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
PKDD
2009
Springer
13 years 12 months ago
2009
Springer
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...