Probabilistic Logic Learning (2004)
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| Venue: | ACM-SIGKDD Explorations: Special issue on Multi-Relational Data Mining |
| Citations: | 31 - 8 self |
BibTeX
@ARTICLE{Raedt04probabilisticlogic,
author = {Luc De Raedt and Kristian Kersting},
title = {Probabilistic Logic Learning},
journal = {ACM-SIGKDD Explorations: Special issue on Multi-Relational Data Mining},
year = {2004},
volume = {5},
pages = {2003}
}
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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 di#erent formalisms and learning techniques have been developed. This paper provides an introductory survey and overview of the stateof -the-art in probabilistic logic learning through the identification of a number of important probabilistic, logical and learning concepts.
