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JAPLL
2010
85views more  JAPLL 2010»
13 years 3 days ago
Hybrid logic with the difference modality for generalisations of graphs
We discuss recent work generalising the basic hybrid logic with the difference modality to any reasonable notion of transition. This applies equally to both subrelational transiti...
Robert S. R. Myers, Dirk Pattinson
HYBRID
2004
Springer
13 years 10 months ago
Stochastic Hybrid Systems: Application to Communication Networks
We propose a model for Stochastic Hybrid Systems (SHSs) where transitions between discrete modes are triggered by stochastic events much like transitions between states of a contin...
João P. Hespanha
ICML
2007
IEEE
14 years 6 months ago
Bottom-up learning of Markov logic network structure
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...
Lilyana Mihalkova, Raymond J. Mooney
ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 5 months ago
Markov logic networks
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
Matthew Richardson, Pedro Domingos
ICML
2005
IEEE
14 years 6 months ago
Learning the structure of Markov logic networks
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...
Stanley Kok, Pedro Domingos