Foundations of Probabilistic Logic Programming Languages, Semantics, Inference and Learning

Probabilistic Logic Programming extends Logic Programming by enabling the representation of uncertain information by means of probability theory. Probabilistic Logic Programming is at the intersection of two wider research fields: the integration of logic and probability and Probabilistic Programmin...

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Bibliographic Details
Main Author:	Riguzzi, Fabrizio
Format:	eBook
Language:	English
Published:	United Kingdom River Publishers 2018 Routledge
Edition:	1
Series:	River Publishers Series in Software Engineering
Subjects:	Computer programming, programs, data Computing and Processing INFORMATIONSCIENCEnetBASE ITECHnetBASE Logic programming Probabilistic automata Probabilities-Data processing SCI-TECHnetBASE Software Engineering & Systems Development STMnetBASE Orders Binary Decision Diagram Kalman Filter BDD Lattices cplint Commands Continuous Random Variables Sld Probability Space Commutative Semiring Vice Versa Negative Literal Composite Choice Head Atoms Non-Standard Inference DS Lifted Inference Probabilistic Facts Target Predicate Monte Carlo Probability Measure Likelihood Weighting Boolean Formula Logic Programs Exact Inference HMM Truel WMC Random Variables Ground Atoms PCFGs Approximate Inference
ISBN:	100079587X, 9781000795875, 9788770220187, 8770220182
Online Access:	Get full text
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