2012 AShortIntroductiontoProbabilist
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- (Kimmig et al., 2012) ⇒ Angelika Kimmig, Stephen Bach, Matthias Broecheler, Bert Huang, and Lise Getoor. (2012). “A Short Introduction to Probabilistic Soft Logic.” In: Proceedings of the NIPS Workshop on Probabilistic Programming: Foundations and Applications.
Subject Headings: Probabilistic Soft Logic.
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Abstract
Probabilistic soft logic (PSL) is a framework for collective, probabilistic reasoning in relational domains. PSL uses first order logic rules as a template language for graphical models over random variables with soft truth values from the interval [0,1]. Inference in this setting is a continuous optimization task, which can be solved efficiently. This paper provides an overview of the PSL language and its techniques for inference and weight learning. An implementation of PSL is available at http://psl.umiacs.umd.edu /.
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2012 AShortIntroductiontoProbabilist | Bert Huang Angelika Kimmig Stephen Bach Matthias Broecheler | A Short Introduction to Probabilistic Soft Logic |