Article details

: Deep probabilistic logic programming

: In Christian Theil Have and Riccardo Zese, editors, Proceedings of the 4th International Workshop on Probabilistic logic programming, (PLP 2017), volume 1916 of CEUR Workshop Proceedings, pages 3--14, Aachen, Germany, 2017. Sun SITE Central Europe.

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In this paper we present a new probabilistic logic language called Hierarchical Probabilistic Logic Programming in which clauses and predicates are hierarchically organized.  Programs in this language can also be seen as arithmetic circuits or deep neural networks. Learning can then be performed by back-propagation Expectation Maximization.

Published at: 4th International Workshop on Probabilistic logic programming, (PLP 2017)

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