ProbLog2: Probabilistic Logic Programming

We present ProbLog2, the state of the art implementation of the probabilistic programming language ProbLog. The ProbLog language allows the user to intuitively build programs that do not only encode complex interactions between a large sets of heterogenous components but also the inherent uncertaint...

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Bibliographic Details
Published inMachine Learning and Knowledge Discovery in Databases Vol. 9286; pp. 312 - 315
Main Authors Dries, Anton, Kimmig, Angelika, Meert, Wannes, Renkens, Joris, Van den Broeck, Guy, Vlasselaer, Jonas, De Raedt, Luc
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Switzerland Springer International Publishing AG 2015
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Artificial intelligence
Data mining
Parameter learning
Pattern recognition
Probabilistic inference
Probabilistic programming
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Summary:We present ProbLog2, the state of the art implementation of the probabilistic programming language ProbLog. The ProbLog language allows the user to intuitively build programs that do not only encode complex interactions between a large sets of heterogenous components but also the inherent uncertainties that are present in real-life situations. The system provides efficient algorithms for querying such models as well as for learning their parameters from data. It is available as an online tool on the web and for download. The offline version offers both command line access to inference and learning and a Python library for building statistical relational learning applications from the system’s components.
ISBN:9783319234601
3319234609
3319234617
9783319234618
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-23461-8_37