Foundations of Probabilistic Logic Programming - Info and Reading Options
Languages, Semantics, Inference and Learning
By Fabrizio Riguzzi
"Foundations of Probabilistic Logic Programming" is published by River Publishers in Oct 29, 2018 - Aalborg and it has 250 pages.
“Foundations of Probabilistic Logic Programming” Metadata:
- Title: ➤ Foundations of Probabilistic Logic Programming
- Author: Fabrizio Riguzzi
- Number of Pages: 250
- Publisher: River Publishers
- Publish Date: Oct 29, 2018
- Publish Location: Aalborg
“Foundations of Probabilistic Logic Programming” Subjects and Themes:
- Subjects: ➤ Logic programming - Machine theory - Probabilities - Data processing - COMPUTERS - Logic Design - Programmation logique - Probabilités - Informatique - COMPUTERS / Programming / Software Development - SCIENCE / Energy
Edition Specifications:
- Format: hardcover
Edition Identifiers:
- The Open Library ID: OL27365595M - OL20181083W
- Online Computer Library Center (OCLC) ID: 1059547836
- ISBN-13: 9788770220187 - 9788770220170
- ISBN-10: 8770220182
- All ISBNs: 8770220182 - 9788770220187 - 9788770220170
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"Foundations of Probabilistic Logic Programming" Description:
Open Data:
Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN SOFTWAREENGINEERING -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Acknowledgments -- List of Figures -- List of Tables -- List of Examples -- List of Definitions -- List of Theorems -- List of Abbreviations -- Chapter 1 - Preliminaries -- 1.1 Orders, Lattices, Ordinals -- 1.2 Mappings and Fixpoints -- 1.3 Logic Programming -- 1.4 Semantics for Normal Logic Programs -- 1.4.1 Program Completion -- 1.4.2 Well-Founded Semantics -- 1.4.3 Stable Model Semantics -- 1.5 Probability Theory -- Probabilistic Graphical Models -- Chapter 2 - Probabilistic Logic Programming Languages -- 2.1 Languages with the Distribution Semantics -- 2.1.1 Logic Programs with Annotated Disjunctions -- 2.1.2 ProbLog -- 2.1.3 Probabilistic Horn Abduction -- 2.1.4 PRISM -- 2.2 The Distribution Semantics for Programs Without Function Symbols -- 2.3 Examples of Programs -- 2.4 Equivalence of Expressive Power -- 2.5 Translation to Bayesian Networks -- 2.6 Generality of the Distribution Semantics -- 2.7 Extensions of the Distribution Semantics -- 2.8 CP-Logic -- 2.9 Semantics for Non-Sound Programs -- 2.10 KBMC Probabilistic Logic Programming Languages -- 2.10.1 Bayesian Logic Programs -- 2.10.2 CLP(BN) -- 2.10.3 The Prolog Factor Language -- 2.11 Other Semantics for Probabilistic Logic Programming -- 2.11.1 Stochastic Logic Programs -- 2.11.2 ProPPR -- 2.12 Other Semantics for Probabilistic Logics -- 2.12.1 Nilsson's Probabilistic Logic -- 12.2.2 Markov Logic Networks -- 12.2.2.1 Encoding Markov Logic Networks with Probabilistic Logic Programming -- 12.3 Annotated Probabilistic Logic Programs -- Chapter 3 - Semantics with Function Symbols -- 3.1 The Distribution Semantics for Programs with Function Symbols -- 3.2 Infinite Covering Set of Explanations
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