عنوان

Density ratio estimation in machine learning

Standard Number

electronic

First Statement of Responsibility

Sugiyama, Masashi

Title Proper by Another Author

4791-

Title Proper

Density ratio estimation in machine learning

Place of Publication, Distribution, etc.

New York

Name of Publisher, Distributor, etc.

Cambridge University Press

Date of Publication, Distribution, etc.

2012

Specific Material Designation and Extent of Item

xii, 329 p. : ill. ; 23 cm.

Text of Note

Includes bibliographical references )p. 309-325( and index

Text of Note

Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori

Text of Note

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; 01. Distribution comparison; 11. Mutual information estimation; 21. Conditional probability estimation -- Part IV. Theoretical Analysis of Density-Ratio Estimation: 31. Parametric convergence analysis; 41. Non-parametric convergence analysis; 51. Parametric two-sample test; 61. Non-parametric numerical stability analysis -- Part V. Conclusions: 71. Conclusions and future directions

Entry Element

، Estimation theory

Entry Element

، Machine learning

Class number

Relator Code

AU

AU Suzuki, Taiji 1981-

AU Kanamori, Takafumi 1971-

TI