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ICML
2005
IEEE
16 years 1 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
187
Voted
ICLP
2009
Springer
16 years 1 months ago
Logic Programs under Three-Valued Lukasiewicz Semantics
If logic programs are interpreted over a three-valued logic, then often Kleene's strong three-valued logic with complete equivalence and Fitting's associated immediate co...
Carroline Dewi Puspa Kencana Ramli, Steffen Hö...
200
Voted
ICLP
2009
Springer
16 years 1 months ago
Using Histograms to Better Answer Queries to Probabilistic Logic Programs
Probabilistic logic programs (PLPs) define a set of probability distribution functions (PDFs) over the set of all Herbrand interpretations of the underlying logical language. When...
Matthias Broecheler, Gerardo I. Simari, V. S. Subr...
227
Voted
POPL
2008
ACM
16 years 1 months ago
Enhancing modular OO verification with separation logic
Conventional specifications for object-oriented (OO) programs must adhere to behavioral subtyping in support of class inheritance and method overriding. However, this requirement ...
Wei-Ngan Chin, Cristina David, Huu Hai Nguyen, She...
ASIAN
2007
Springer
126views Algorithms» more  ASIAN 2007»
15 years 6 months ago
Computational Semantics for Basic Protocol Logic - A Stochastic Approach
Abstract. This paper is concerned about relating formal and computational models of cryptography in case of active adversaries when formal security analysis is done with first ord...
Gergei Bana, Koji Hasebe, Mitsuhiro Okada