MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01778nam a2200277 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000070612 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251125093717.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
130605t2012 enka f 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780521190176 (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0521190177 (hardback) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
|---|
| Level of rules in bibliographic description |
201401061450 |
| Level of effort used to assign nonsubject heading access points |
saini |
| -- |
201306051100 |
| -- |
hairil |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
QA276.8 .S84 2012 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Sugiyama, Masashi, |
| Dates associated with a name |
1974- |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Density ratio estimation in machine learning / |
| Statement of responsibility, etc. |
Masashi Sugiyama, Taiji Suzuki, Takafumi Kanamori |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cambridge : |
| Name of publisher, distributor, etc. |
Cambridge University Press, |
| Date of publication, distribution, etc. |
2012 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 329 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents 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; 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 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Estimation theory |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Suzuki, Taiji, |
| Dates associated with a name |
1981- |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kanamori, Takafumi, |
| Dates associated with a name |
1971- |