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ECML
2007
Springer
14 years 2 months ago
Learning Directed Probabilistic Logical Models: Ordering-Search Versus Structure-Search
We discuss how to learn non-recursive directed probabilistic logical models from relational data. This problem has been tackled before by upgrading the structure-search algorithm i...
Daan Fierens, Jan Ramon, Maurice Bruynooghe, Hendr...
ML
2008
ACM
100views Machine Learning» more  ML 2008»
13 years 8 months ago
Generalized ordering-search for learning directed probabilistic logical models
Abstract. Recently, there has been an increasing interest in directed probabilistic logical models and a variety of languages for describing such models has been proposed. Although...
Jan Ramon, Tom Croonenborghs, Daan Fierens, Hendri...
LPNMR
2005
Springer
14 years 1 months ago
Revisiting the Semantics of Interval Probabilistic Logic Programs
Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
Alex Dekhtyar, Michael I. Dekhtyar
BIBE
2007
IEEE
113views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Quantitative and Probabilistic Modeling in Pathway Logic
—This paper presents a study of possible extensions of Pathway Logic to represent and reason about semiquantitative and probabilistic aspects of biological processes. The underly...
Alessandro Abate, Yu Bai, Nathalie Sznajder, Carol...
ICLP
2004
Springer
14 years 1 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