TY  - BOOK
AU  - Sugiyama,Masashi
AU  - Suzuki,Taiji
AU  - Kanamori,Takafumi
TI  - Density ratio estimation in machine learning
SN  - 9780521190176 (hardback)
PY  - 2012///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Estimation theory
KW  - Machine learning
N1  - Includes bibliographical references and index; Part I. Density-Ratio Approach to Machine Learning: 1. Introduction -- 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: 9. Importance sampling; 10. Distribution comparison; 11. Mutual information estimation; 12. Conditional probability estimation -- 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: 17. Conclusions and future directions
ER  -