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ICML
2009
IEEE
14 years 10 months ago
Learning Markov logic network structure via hypergraph lifting
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...
Stanley Kok, Pedro Domingos
AAAI
2008
14 years 5 days ago
Factored Models for Probabilistic Modal Logic
Modal logic represents knowledge that agents have about other agents' knowledge. Probabilistic modal logic further captures probabilistic beliefs about probabilistic beliefs....
Afsaneh Shirazi, Eyal Amir
ISSTA
1989
ACM
14 years 1 months ago
The Logic of Propagation in the Inscape Environment
The Inscape Environment research project addresses issues in supporting the development of large systems by large numbers of programmers. One aspect of this research is the ‘‘...
D. Perry
ICDE
2012
IEEE
199views Database» more  ICDE 2012»
12 years 9 days ago
Physically Independent Stream Merging
—A facility for merging equivalent data streams can support multiple capabilities in a data stream management system (DSMS), such as query-plan switching and high availability. O...
Badrish Chandramouli, David Maier, Jonathan Goldst...
CSL
2004
Springer
14 years 3 months ago
Game-Based Notions of Locality Over Finite Models
Locality notions in logic say that the truth value of a formula can be determined locally, by looking at the isomorphism type of a small neighborhood of its free variables. Such n...
Marcelo Arenas, Pablo Barceló, Leonid Libki...