Sciweavers

344 search results - page 17 / 69
» Probabilistic Inductive Logic Programming
Sort
View
AAAI
2008
13 years 11 months ago
Revising Imprecise Probabilistic Beliefs in the Framework of Probabilistic Logic Programming
Probabilistic logic programming is a powerful technique to represent and reason with imprecise probabilistic knowledge. A probabilistic logic program (PLP) is a knowledge base whi...
Anbu Yue, Weiru Liu
DLOG
2007
13 years 11 months ago
Exploiting Description Logic Reasoners in Inductive Logic
In spite of the increasing effort spent on building ontologies for the Semantic Web, little attention has been paid to the impact of these ontologies on knowledge-based intelligen...
Francesca A. Lisi
AAAI
2006
13 years 10 months ago
kFOIL: Learning Simple Relational Kernels
A novel and simple combination of inductive logic programming with kernel methods is presented. The kFOIL algorithm integrates the well-known inductive logic programming system FO...
Niels Landwehr, Andrea Passerini, Luc De Raedt, Pa...
ECAI
1998
Springer
14 years 22 days ago
Probabilistic Logic Programming
We present probabilistic logic programming under inheritance with overriding. This approach is based on new notions of entailment for reasoning with conditional constraints, which...
Thomas Lukasiewicz
ICML
2008
IEEE
14 years 9 months ago
Fast estimation of first-order clause coverage through randomization and maximum likelihood
In inductive logic programming, subsumption is a widely used coverage test. Unfortunately, testing -subsumption is NP-complete, which represents a crucial efficiency bottleneck fo...
Filip Zelezný, Ondrej Kuzelka