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Probabilistic logic learning

Authors :
Kristian Kersting
Luc De Raedt
Source :
ACM SIGKDD Explorations Newsletter. 5:31-48
Publication Year :
2003
Publisher :
Association for Computing Machinery (ACM), 2003.

Abstract

The past few years have witnessed an significant interest in probabilistic logic learning, i.e. in research lying at the intersection of probabilistic reasoning, logical representations, and machine learning. A rich variety of different formalisms and learning techniques have been developed. This paper provides an introductory survey and overview of the state-of-the-art in probabilistic logic learning through the identification of a number of important probabilistic, logical and learning concepts.

Details

ISSN :
19310153 and 19310145
Volume :
5
Database :
OpenAIRE
Journal :
ACM SIGKDD Explorations Newsletter
Accession number :
edsair.doi...........c5b916ccc77b6f5e950512f7f8ad2769
Full Text :
https://doi.org/10.1145/959242.959247