Probabilistic (logic) programming concepts

A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling of complex, structured probability distributions. Each of these languages employs its own probabilistic primitives, and comes with a particu...

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Veröffentlicht in:	Machine learning Jg. 100; H. 1; S. 5 - 47
Hauptverfasser:	De Raedt, Luc, Kimmig, Angelika
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.07.2015 Springer Nature B.V
Schlagworte:	Artificial Intelligence Computer Science Control Inference in probabilistic languages Logic programming Mechatronics Natural Language Processing (NLP) Probabilistic logic programming Probabilistic methods Probabilistic programming languages Probability theory Programming Programming languages Prolog Prolog (programming language) Robotics Semantics Simulation and Modeling Statistical relational learning Inference in probabilistic languages Statistical relational learning Probabilistic programming languages Probabilistic logic programming
ISSN:	0885-6125, 1573-0565, 1573-0565
Online-Zugang:	Volltext
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