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» Probabilistic (logic) programming concepts
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SUM
2007
Springer
15 years 4 months ago
Finding Most Probable Worlds of Probabilistic Logic Programs
Abstract. Probabilistic logic programs have primarily studied the problem of entailment of probabilistic atoms. However, there are some interesting applications where we are intere...
Samir Khuller, Maria Vanina Martinez, Dana S. Nau,...
ICLP
2009
Springer
15 years 10 months ago
Generative Modeling by PRISM
PRISM is a probabilistic extension of Prolog. It is a high level language for probabilistic modeling capable of learning statistical parameters from observed data. After reviewing ...
Taisuke Sato
ICLP
2009
Springer
15 years 10 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...
ICLP
2010
Springer
15 years 1 months ago
Abductive Inference in Probabilistic Logic Programs
ABSTRACT. Action-probabilistic logic programs (ap-programs) are a class of probabilistic logic programs that have been extensively used during the last few years for modeling behav...
Gerardo I. Simari, V. S. Subrahmanian
ICLP
2004
Springer
15 years 3 months ago
Possible Worlds Semantics for Probabilistic Logic Programs
Abstract. In this paper we consider a logic programming framework for reasoning about imprecise probabilities. In particular, we propose a new semantics, for the Probabilistic Logi...
Alex Dekhtyar, Michael I. Dekhtyar