Utility-Based Learning from Data
Statistical learning, particularly probabilistic model learning, has become increasingly important in recent years. Probabilistic models, however, are not usually studied for their own sake but for decision-making purposes. Written by authorities in the field, "Utility-Based Learning from Data" approaches the probabilistic modeling problem from the point of view of decision makers who operate in an uncertain environment, base their decisions on a probabilistic model, and build and assess this m…
Read More ↓Title Statements
- Full title :Utility-Based Learning from Data.
Summary
Statistical learning, particularly probabilistic model learning, has become increasingly important in recent years. Probabilistic models, however, are not usually studied for their own sake but for decision-making purposes. Written by authorities in the field, "Utility-Based Learning from Data" approaches the probabilistic modeling problem from the point of view of decision makers who operate in an uncertain environment, base their decisions on a probabilistic model, and build and assess this model accordingly. After reviewing utility theory, the book surveys and extends popular stat.
Read More ↓Edition Statements
- Publication Date:2010.
Publication Statements
- Publisher(s):CRC Press
- Place of Publication:Hoboken
- Language:eng
- Publication Date:2010.
The Physical Object
- Description:1 online resource (412 pages).
Edition Identifiers
- ISBN:9781420011289, 1420011286
- oclc:ocn781368737
- LC Classification:Q325.5.F75 2010
- Dewey Decimal:006.3/1
Table of Contents
Front cover; Contents; Preface; Acknowledgments; Disclaimer; Chapter 1: Introduction; Chapter 2: Mathematical Preliminaries; Chapter 3: The Horse Race; Chapter 4: Elements of Utility Theory; Chapter 5: The Horse Race and Utility; Chapter 6: Select Methods for Measuring Model Performance; Chapter 7: A Utility-Based Approach toInformation Theory; Chapter 8: Utility-Based Model Performance Measurement; Chapter 9: Select Methods for Estimating Probabilistic Models; Chapter 10: A Utility-Based Approach to Probability Estimation; Chapter 11: Extensions; Chapter 12: Select Applications; References.
Back cover.
Subjects
Writers
More from this Series
No reviews yet. Be the first to rate this work.
Related Works
more →
Files & Downloads
No downloadable files are registered for this work yet.
Rate & Review