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» ProbLog2: Probabilistic Logic Programming
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ICML
2005
IEEE
14 years 11 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
ITP
2010
159views Mathematics» more  ITP 2010»
14 years 2 months ago
Programming Language Techniques for Cryptographic Proofs
CertiCrypt is a general framework to certify the security of cryptographic primitives in the Coq proof assistant. CertiCrypt adopts the code-based paradigm, in which the statement ...
Gilles Barthe, Benjamin Grégoire, Santiago ...
CADE
2008
Springer
14 years 11 months ago
Exploring Model-Based Development for the Verification of Real-Time Java Code
Many safety- and security-critical systems are real-time systems and, as a result, tools and techniques for verifying real-time systems are extremely important. Simulation and test...
Niusha Hakimipour, Paul A. Strooper, Roger Duke
UAI
1997
14 years 7 days ago
Object-Oriented Bayesian Networks
Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Daphne Koller, Avi Pfeffer
ICTAI
2007
IEEE
14 years 5 months ago
Establishing Logical Rules from Empirical Data
We review a method of generating logical rules, or axioms, from empirical data. This method, using closed set properties of formal concept analysis, has been previously described ...
John L. Pfaltz