824 search results - page 4 / 165 » Learning probabilistic logic models from probabilistic examp... |
ALT
2004
Springer
14 years 2 months ago
2004
Springer
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
ML
2006
ACM
13 years 5 months ago
2006
ACM
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 ...
ILP
2007
Springer
13 years 11 months ago
2007
Springer
Statistical Relational Learning (SRL) combines the benefits of probabilistic machine learning approaches with complex, structured domains from Inductive Logic Programming (ILP). W...
SEMWEB
2009
Springer
14 years 3 days ago
2009
Springer
Probabilistic Description Logics are the basis of ontologies in the Semantic Web. Knowledge representation and reasoning for these logics have been extensively explored in the last...
FLAIRS
2008
13 years 8 months ago
2008
We describe a new approach to model construction using transfer function diagrams that are consequently mapped into generalized loopy logic, a first-order, Turing-complete stochas...