article

Probabilistic logic learning

Authors:

Kristian KerstingAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 5, Issue 1

Pages 31 - 48

https://doi.org/10.1145/959242.959247

Published: 01 July 2003 Publication History

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.

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1. Computing methodologies
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cover image ACM SIGKDD Explorations Newsletter

ACM SIGKDD Explorations Newsletter Volume 5, Issue 1

July 2003

101 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/959242

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Copyright © 2003 Authors.

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Association for Computing Machinery

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Published: 01 July 2003

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