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ML
2006
ACM
122views Machine Learning» more  ML 2006»
14 years 10 months ago
PRL: A probabilistic relational language
In this paper, we describe the syntax and semantics for a probabilistic relational language (PRL). PRL is a recasting of recent work in Probabilistic Relational Models (PRMs) into ...
Lise Getoor, John Grant
ACTA
1998
81views more  ACTA 1998»
14 years 9 months ago
Dijkstra-Scholten Predicate Calculus: Concepts and Misconceptions
The paper focusses on the logical backgrounds of the Dijkstra-Scholten program development style for correct programs. For proving the correctness of a program (i.e. the fact that...
Lex Bijlsma, Rob Nederpelt
AI
2008
Springer
14 years 10 months ago
Expressive probabilistic description logics
The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role...
Thomas Lukasiewicz
ILP
2005
Springer
15 years 3 months ago
Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models
Abstract. Logical Bayesian Networks (LBNs) have recently been introduced as another language for knowledge based model construction of Bayesian networks, besides existing languages...
Daan Fierens, Hendrik Blockeel, Maurice Bruynooghe...
AICOM
2006
105views more  AICOM 2006»
14 years 10 months ago
Evolutionary concept learning in First Order Logic: An overview
This paper presents an overview of recent systems for Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on meth...
Federico Divina