Foundations of Probabilistic Logic Programming: Languages, Semantics, Inference and Learning
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This book aims at providing an overview of probabilistic logic programming with a special emphasis on languages under the distribution semantics, and presents the main ideas for semantics, inference, and learning and highlights connections between the methods.
Product Details
ISBN-13: 9788770227193
Media Type: Hardcover
Publisher: River Publishers
Publication Date: 07-07-2023
Pages: 506
Product Dimensions: 6.12(w) x 9.19(h) x (d)
Table of Contents
Table of Contents
1. Preliminaries 2. Probabilistic Logic Programming Languages 3. Semantics with Function Symbols 4. Hybrid Programs 5. Semantics for Hybrid Programs with Function Symbols 6. Probabilistic Answer Set Programming 7. Complexity of Inference 8. Exact Inference 9. Lifted Inference 10. Approximate Inference 11. Non-Standard Inference 12. Inference for Hybrid Programs 13. Parameter Learning 14. Structure Learning 15. cplint Examples 16. Conclusions