Probabilistic Inductive Logic Programming by Luc De RaedtProbabilistic Inductive Logic Programming by Luc De Raedt

Probabilistic Inductive Logic Programming

byLuc De RaedtEditorPaolo Frasconi, Kristian Kersting

Paperback | March 14, 2008

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This book provides an introduction to probabilistic inductive logic programming. It places emphasis on the methods based on logic programming principles and covers formalisms and systems, implementations and applications, as well as theory.

Title:Probabilistic Inductive Logic ProgrammingFormat:PaperbackDimensions:341 pagesPublished:March 14, 2008Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540786511

ISBN - 13:9783540786511

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Table of Contents

Probabilistic Inductive Logic Programming.- Formalisms and Systems.- Relational Sequence Learning.- Learning with Kernels and Logical Representations.- Markov Logic.- New Advances in Logic-Based Probabilistic Modeling by PRISM.- CLP( ): Constraint Logic Programming for Probabilistic Knowledge.- Basic Principles of Learning Bayesian Logic Programs.- The Independent Choice Logic and Beyond.- Applications.- Protein Fold Discovery Using Stochastic Logic Programs.- Probabilistic Logic Learning from Haplotype Data.- Model Revision from Temporal Logic Properties in Computational Systems Biology.- Theory.- A Behavioral Comparison of Some Probabilistic Logic Models.- Model-Theoretic Expressivity Analysis.