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SEMWEB
2009
Springer
14 years 2 months ago
An Algorithm for Learning with Probabilistic Description Logics
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...
José Eduardo Ochoa Luna, Fabio Gagliardi Co...
IJCAI
2007
13 years 9 months ago
ProbLog: A Probabilistic Prolog and Its Application in Link Discovery
We introduce ProbLog, a probabilistic extension of Prolog. A ProbLog program defines a distribution over logic programs by specifying for each clause the probability that it belo...
Luc De Raedt, Angelika Kimmig, Hannu Toivonen
CORR
2010
Springer
136views Education» more  CORR 2010»
13 years 7 months ago
On the Implementation of the Probabilistic Logic Programming Language ProbLog
The past few years have seen a surge of interest in the field of probabilistic logic learning and statistical relational learning. In this endeavor, many probabilistic logics have...
Angelika Kimmig, Bart Demoen, Luc De Raedt, V&iacu...
ETAI
2000
84views more  ETAI 2000»
13 years 7 months ago
Learning Stochastic Logic Programs
Stochastic logic programs combine ideas from probabilistic grammars with the expressive power of definite clause logic; as such they can be considered as an extension of probabili...
Stephen Muggleton
CORR
2011
Springer
143views Education» more  CORR 2011»
12 years 11 months ago
Probabilistic Logic: Many-valuedness and Intensionality
The probability theory is a well-studied branch of mathematics, in order to carry out formal reasoning about probability. Thus, it is important to have a logic, both for computati...
Zoran Majkic