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Density Ratio Estimation in Machine Learning

Masashi Sugiyama, Taiji Suzuki, and Takafumi Kanamori
Publisher: 
Cambridge University Press
Publication Date: 
2012
Number of Pages: 
329
Format: 
Hardcover
Price: 
95.00
ISBN: 
9780521190176
Category: 
Monograph
We do not plan to review this book.

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.

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