01778nam a2200277 a 4500 vtls000070612 KUKTEM 20251125093717.0 130605t2012 enka f 001 0 eng d 9780521190176 (hardback) 0521190177 (hardback) 201401061450 saini 201306051100 hairil UMP QA276.8 .S84 2012 Sugiyama, Masashi, 1974- Density ratio estimation in machine learning / Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori Cambridge : Cambridge University Press, 2012 xii, 329 p. : ill. ; 24 cm. 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 Estimation theory Machine learning Suzuki, Taiji, 1981- Kanamori, Takafumi, 1971- 0 0 0 0 20000 20000 2019-09-04 293.05 0 QA276.8 .S84 2012 0000079687 2019-09-04 00:00:00 1 293.05 2019-09-04 OPEN VIRTUA40 67396 67402 VTLSSORT0080*0200*0201*0400*0900*1000*2450*2600*3000*5040*5050*6500*6501*7000*7001*9992