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ICLP
2010
Springer
14 years 1 days 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
IMSA
2001
108views Multimedia» more  IMSA 2001»
13 years 10 months ago
Enhancing a Multimedia Presentation System with Object-based Knowledge Representation
This paper deals with the coupling of AROM, an objectbased knowledge representation with V-STORM, a multimedia presentation system. We propose an AROM knowledge base which constit...
A. Ketfi, Jérôme Gensel, Hervé...
SWAP
2007
13 years 9 months ago
Semantic Nearest Neighbor Search in OWL Ontologies
Abstract. A nearest neighbor search procedure is presented, for retrieving resources in knowledge bases expressed in OWL. The procedure exploits a semidistance for annotated resour...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
ML
2006
ACM
131views Machine Learning» more  ML 2006»
13 years 8 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
AIEDAM
1999
79views more  AIEDAM 1999»
13 years 8 months ago
An algorithmic approach to knowledge evolution
Intelligent agents must update their knowledge base as they acquire new information about their environment. The modal logic S5n has been designed for representing knowledge bases...
Alessio Lomuscio, Mark Ryan