Book description
This book provides a rigorous algebraic study of the most popular inference formalisms with a special focus on their wide application area, showing that all these tasks can be performed by a single generic inference algorithm. Written by the leading international authority on the topic, it includes an algebraic perspective (study of the valuation algebra framework), an algorithmic perspective (study of the generic inference schemes) and a "practical" perspective (formalisms and applications). Researchers in a number of fields including artificial intelligence, operational research, databases and other areas of computer science; graduate students; and professional programmers of inference methods will benefit from this work.
Table of contents
- Cover
- Half Title page
- Title page
- Copyright page
- Dedication
- List of Instances and Applications
- List of Figures
- Acknowledgments
- Introduction
-
Part I: Local Computation
- Chapter 1: Valuation Algebras
- Chapter 2: Inference Problems
-
Chapter 3: Computing Single Queries
- 3.1 Valuation Algebras with Variable Elimination
- 3.2 Fusion and Bucket Elimination
- 3.3 Valuation Algebras with Neutral Elements
- 3.4 Valuation Algebras with Null Elements
- 3.5 Local Computation as Message-Passing Scheme
- 3.6 Covering Join Trees
- 3.7 Join Tree Construction
- 3.8 The Collect Algorithm
- 3.9 Adjoining an Identity Element
- 3.10 The Generalized Collect Algorithm
- 3.11 An Application: The Fast Fourier Transform
- 3.12 Conclusion
- Appendix: Proof of the Generalized Collect Algorithm
-
Chapter 4: Computing Multiple Queries
- 4.1 The Shenoy-Shafer Architecture
- 4.2 Valuation Algebras with Inverse Elements
- 4.3 The Lauritzen-Spiegelhalter Architecture
- 4.4 The Hugin Architecture
- 4.5 The Idempotent Architecture
- 4.6 Answering Uncovered Queries
- 4.7 Scaling and Normalization
- 4.8 Local Computation with Scaling
- 4.9 Conclusion
- Appendix: Valuation Algebras with Division
- D.1 Properties for the Introduction of Division
- D.2 Proofs of Division-Based Architectures
- D.3 Proof for Scaling in Valuation Algebras
-
Part II: Generic Constructions
-
Chapter 5: Semiring Valuation Algebras
- 5.1 Semirings
- 5.2 Semirings and Order
- 5.3 Semiring Valuation Algebras
- 5.4 Examples of Semiring Valuation Algebras
- 5.5 Properties of Semiring Valuation Algebras
- 5.6 Some Computational Aspects
- 5.7 Set-Based Semiring Valuation Algebras
- 5.8 Properties of Set-Based Semiring Valuation Algebras
- 5.9 Conclusion
- Appendix: Semiring Valuation Algebras with Division
- E.1 Separative Semiring Valuation Algebras
- E.2 Regular Semiring Valuation Algebras
- E.3 Cancellative Semiring Valuation Algebras
- E.4 Idempotent Semiring Valuation Algebras
- E.5 Scalable Semiring Valuation Algebras
-
Chapter 6: Valuation Algebras for Path Problems
- 6.1 Some Path Problem Examples
- 6.2 The Algebraic Path Problem
- 6.3 Quasi-Regular Semirings
- 6.4 Quasi-Regular Valuation Algebras
- 6.5 Properties of Quasi-Regular Valuation Algebras
- 6.6 Kleene Algebras
- 6.7 Kleene Valuation Algebras
- 6.8 Properties of Kleene Valuation Algebras
- 6.9 Further Path Problems
- 6.10 Conclusion
- Chapter 7: Language and Information
-
Chapter 5: Semiring Valuation Algebras
-
Part III: Applications
- Chapter 8: Dynamic Programming
- Chapter 9: Sparse Matrix Techniques
-
Chapter 10: Gaussian Information
- 10.1 Gaussian Systems and Potentials
- 10.2 Generalized Gaussian Potentials
- 10.3 Gaussian Information and Gaussian Potentials
- 10.4 Valuation Algebra of Gaussian Potentials
- 10.5 An Application: Gaussian Dynamic Systems
- 10.6 An Application: Gaussian Bayesian Networks
- 10.7 Conclusion
- Appendix:
- J.1 Valuation Algebra Properties of Hints
- J.2 Gaussian Densities
- References
- Index
Product information
- Title: Generic Inference: A Unifying Theory for Automated Reasoning
- Author(s):
- Release date: May 2011
- Publisher(s): Wiley
- ISBN: 9780470527016
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