Book contents
- Frontmatter
- Contents
- Foreword
- Preface
- Part I Density-Ratio Approach to Machine Learning
- Part II Methods of Density-Ratio Estimation
- Part III Applications of Density Ratios in Machine Learning
- Part IV Theoretical Analysis of Density-Ratio Estimation
- 13 Parametric Convergence Analysis
- 14 Non-Parametric Convergence Analysis
- 15 Parametric Two-Sample Test
- 16 Non-Parametric Numerical Stability Analysis
- Part V Conclusions
- List of Symbols and Abbreviations
- Bibliography
- Index
14 - Non-Parametric Convergence Analysis
from Part IV - Theoretical Analysis of Density-Ratio Estimation
Published online by Cambridge University Press: 05 March 2012
Book contents
- Frontmatter
- Contents
- Foreword
- Preface
- Part I Density-Ratio Approach to Machine Learning
- Part II Methods of Density-Ratio Estimation
- Part III Applications of Density Ratios in Machine Learning
- Part IV Theoretical Analysis of Density-Ratio Estimation
- 13 Parametric Convergence Analysis
- 14 Non-Parametric Convergence Analysis
- 15 Parametric Two-Sample Test
- 16 Non-Parametric Numerical Stability Analysis
- Part V Conclusions
- List of Symbols and Abbreviations
- Bibliography
- Index
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- Information
- Density Ratio Estimation in Machine Learning , pp. 236 - 251Publisher: Cambridge University PressPrint publication year: 2012