Foundations of probabilistic logic programming : languages, semantics, inference and learning /: languages, semantics, inference and learning. (2022)

• Record Type: Book
• Further Information: Note: Fabrizio Riguzzi.
• Authors: Riguzzi, Fabrizio
• Contents: List of Examples List of Definitions List of Theorems List of Abbreviations 1 Preliminaries 2 Probabilistic Logic Programming Languages 3 Semantics with Function Symbols 4 Semantics for Hybrid Programs 5 Exact Inference 6 Lifted Inference 7 Approximate Inference 8 Non-Standard Inference 9 Parameter Learning 10 Structure Learning 11 cplint Examples 12 Conclusions References Index About the Author
• Edition: 1st
• Publisher Details: Gistrup : River Publishers
• Publication Date: 2022
• Extent: 1 online resource
• Subjects: 005.115; Logic programming; Probabilistic automata
• Languages: English
• ISBNs: 9781000792553
• Related ISBNs: 9781000795875
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.