Description |
1 online resource |
Series |
Chapman & Hall/CRC machine learning & pattern recognition series |
Contents |
Front Cover; Dedication; Contents; Foreword; Preface; Chapter 1: Introduction; Part I: Bayesian Programming Principles; Chapter 2: Basic Concepts; Chapter 3: Incompleteness and Uncertainty; Chapter 4: Description = Specification + Identification; Chapter 5: The Importance of Conditional Independence; Chapter 6: Bayesian Program = Description + Question; Part II: Bayesian Programming Cookbook; Chapter 7: Information Fusion; Chapter 8: Bayesian Programming with Coherence Variables; Chapter 9: Bayesian Programming Subroutines; Chapter 10: Bayesian Programming Conditional Statement |
|
Chapter 11: Bayesian Programming IterationPart III: Bayesian Programming Formalism and Algorithms; Chapter 12: Bayesian Programming Formalism; Chapter 13: Bayesian Models Revisited; Chapter 14: Bayesian Inference Algorithms Revisited; Chapter 15: Bayesian Learning Revisited; Part IV: Frequently Asked Questions -- Frequently Argued Matters; Chapter 16: Frequently Asked Questions and Frequently Argued Matters; Chapter 17: Glossary; Bibliography |
Summary |
Probability as an Alternative to Boolean LogicWhile logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial investments to email filtering, are incomplete or uncertain in nature. Probability theory and Bayesian computing together provide an alternative framework to deal with incomplete and uncertain data. Decision-Making Tools and Methods for Incomplete and Uncertain DataEmphasizing prob |
Notes |
Previously issued in print: 2012 |
|
CIP data; resource not viewed |
Subject |
Computer science -- Mathematics.
|
|
Bayesian statistical decision theory -- Data processing
|
|
Bayesian statistical decision theory -- Data processing.
|
|
Computer science -- Mathematics.
|
Form |
Electronic book
|
Author |
Mazer, Emmanuel, author
|
|
Ahuactzin, Juan Manuel, author
|
|
Mekhnacha, Kamel, author
|
ISBN |
9781439880333 |
|
1439880336 |
|
1439880328 |
|
9781439880326 |
|
9781306500555 |
|
1306500559 |
|