| Description |
xv, 229 pages : illustrations ; 27 cm. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
Neural information processing series
|
|
Neural information processing series.
|
| Bibliography |
Includes bibliographical references (pages 207-218) and index. |
| Contents |
I. Introduction to dataset shift -- 1. When training and test sets are different: characterizing learning transfer / Amos Storkey -- 2. Projection and projectability / David Corfield -- II. Theoretical views on dataset and covariate shift -- 3. Binary classification under sample selection bias / Matthias Hein -- 4. On Bayesian transduction: implications for the covariate shift problem / Lars Kai Hansen -- 5. On the training/test distributions gap: a data representation learning framework / Shai Ben-David -- III. Algorithms for covariate shift -- 6. Geometry of covariate shift with applications to active learning / Takafumi Kanamori and Hidetoshi Shimodaira -- 7. A conditional expectation approach to model selection and active learning under covariate shift / Masashi Sugiyama, Neil Rubens and Klaus-Robert Muller -- 8. Covariate shift by kernel mean matching / Arthur Grellon, Alex Smola, Jiayuan Huang, Marcel Schmittfull, Karsten Borgwardt and Bernhard Scholkopf -- 9. Discriminative learning under covariate shift with a single optimization problem / Steffen Bickel, Michael Bruckner and Tobias Scheffer -- 10. An adversarial view of covariate shift and a minimax approach / Amir Globerson, Choon Hui Teo, Alex Smola and Sam Roweis -- IV. Discussion -- 11. Author comments / Hidetoshi Shimodaira, Masashi Sugiyama, Amos Storkey, Arthur Gretton and Shai-Ben David. |
| Access |
Use copy Restrictions unspecified MiAaHDL |
| Summary |
This work is an overview of recent efforts in the machine learning community to deal with dataset and covariate shift, which occurs when test and training inputs and outputs have different distributions. |
| Reproduction |
Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL |
| System Details |
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
| Processing Action |
digitized 2010 HathiTrust Digital Library committed to preserve MiAaHDL |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Machine learning.
|
|
Machine learning. |
|
COMPUTERS -- Enterprise Applications -- Business Intelligence Tools. |
|
COMPUTERS -- Intelligence (AI) & Semantics. |
| Indexed Term |
Machine learning |
| Genre/Form |
Electronic books.
|
| Added Author |
Quiñonero-Candela, Joaquin.
|
| Other Form: |
Online version: Dataset shift in machine learning. Cambridge, Mass. : MIT Press, ©2009 (OCoLC)609925477 |
|
Online version: Dataset shift in machine learning. Cambridge, Mass. : MIT Press, ©2009 (OCoLC)628375064 |
| ISBN |
9780262170055 hardcover alkaline paper |
|
0262170051 hardcover alkaline paper |
|
9780262255103 |
|
0262255103 |
| Standard No. |
9786612240386 |
|
