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» CLP(BN): Constraint Logic Programming for Probabilistic Know...
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AMAI
2008
Springer
13 years 5 months ago
Integrating answer set programming and constraint logic programming
We introduce a knowledge representation language AC(C) extending the syntax and semantics of ASP and CR-Prolog, give some examples of its use, and present an algorithm, ACsolver, ...
Veena S. Mellarkod, Michael Gelfond, Yuanlin Zhang
ML
2008
ACM
150views Machine Learning» more  ML 2008»
13 years 5 months ago
Learning probabilistic logic models from probabilistic examples
Abstract. We revisit an application developed originally using Inductive Logic Programming (ILP) by replacing the underlying Logic Program (LP) description with Stochastic Logic Pr...
Jianzhong Chen, Stephen Muggleton, José Car...
ICLP
2010
Springer
13 years 8 months ago
Improving the Efficiency of Gibbs Sampling for Probabilistic Logical Models by Means of Program Specialization
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
Daan Fierens
ETAI
2000
84views more  ETAI 2000»
13 years 5 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton
CPAIOR
2006
Springer
13 years 9 months ago
Event-Driven Probabilistic Constraint Programming
Real-life management decisions are usually made in uncertain environments, and decision support systems that ignore this uncertainty are unlikely to provide realistic guidance. We ...
Armagan Tarim, Brahim Hnich, Steven David Prestwic...