Book contents
- Frontmatter
- Contents
- Foreword
- Preface
- Part I Density-Ratio Approach to Machine Learning
- Part II Methods of Density-Ratio Estimation
- 2 Density Estimation
- 3 Moment Matching
- 4 Probabilistic Classification
- 5 Density Fitting
- 6 Density-Ratio Fitting
- 7 Unified Framework
- 8 Direct Density-Ratio Estimation with Dimensionality Reduction
- Part III Applications of Density Ratios in Machine Learning
- Part IV Theoretical Analysis of Density-Ratio Estimation
- Part V Conclusions
- List of Symbols and Abbreviations
- Bibliography
- Index
3 - Moment Matching
from Part II - Methods of Density-Ratio Estimation
Published online by Cambridge University Press: 05 March 2012
- Frontmatter
- Contents
- Foreword
- Preface
- Part I Density-Ratio Approach to Machine Learning
- Part II Methods of Density-Ratio Estimation
- 2 Density Estimation
- 3 Moment Matching
- 4 Probabilistic Classification
- 5 Density Fitting
- 6 Density-Ratio Fitting
- 7 Unified Framework
- 8 Direct Density-Ratio Estimation with Dimensionality Reduction
- Part III Applications of Density Ratios in Machine Learning
- Part IV Theoretical Analysis of Density-Ratio Estimation
- Part V Conclusions
- List of Symbols and Abbreviations
- Bibliography
- Index
Summary
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- Type
- Chapter
- Information
- Density Ratio Estimation in Machine Learning , pp. 39 - 46Publisher: Cambridge University PressPrint publication year: 2012