81 search results - page 4 / 17 » An Algorithm for Learning with Probabilistic Description Log... |
ILP
2007
Springer
14 years 11 days 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...
CORR
2010
Springer
13 years 6 months ago
2010
Springer
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...
CSL
2002
Springer
13 years 6 months ago
2002
Springer
A spoken language generation system has been developed that learns to describe objects in computer-generated visual scenes. The system is trained by a `show-and-tell' procedu...
JMLR
2010
13 years 1 months ago
2010
Logic-based probabilistic models (LBPMs) enable us to handle problems with uncertainty succinctly thanks to the expressive power of logic. However, most of LBPMs have restrictions...
DEXA
2008
Springer
2008
Springer
Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies
13 years 8 months ago
Abstract. We present a method based on clustering techniques to detect concept drift or novelty in a knowledge base expressed in Description Logics. The method exploits an effectiv...