Inductive Logic Programming Meets Relational Databases: Efficient Learning of Markov Logic Networks

Statistical Relational Learning (SRL) approaches have been developed to learn in presence of noisy relational data by combining probability theory with first order logic. While powerful, most learning approaches for these models do not scale well to large datasets. While advances have been made on u...

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Bibliographic Details
Published inInductive Logic Programming Vol. 10326; pp. 14 - 26
Main Authors Malec, Marcin, Khot, Tushar, Nagy, James, Blask, Erik, Natarajan, Sriraam
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2017
Springer International Publishing
SeriesLecture Notes in Computer Science
Online AccessGet full text

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