84 search results - page 1 / 17 » Lifted generative learning of Markov logic networks |
ICML
2009
IEEE
14 years 5 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...
AAAI
2011
12 years 4 months ago
2011
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
ICML
2007
IEEE
14 years 5 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...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
KI
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. Markov logic, as a highly expressive representation formalism that essentially combines the semantics of probabilistic graphical models with the full power of first-orde...