Title Dataset shift in machine learning / [edited by] Joaquin Quiñonero-Candela [and others]

Published Cambridge, Mass. : MIT Press, ©2009

Click on the following:
ProQuest Ebook Central
EBSCO eBooks

Copies

Description 1 online resource (xv, 229 pages) : illustrations Series Neural information processing series Neural information processing series. 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 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 Analysis COMPUTER SCIENCE/Machine Learning & Neural Networks Bibliography Includes bibliographical references (pages 207-218) and index Notes 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 English Print version record digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL Subject Machine learning. COMPUTERS -- Enterprise Applications -- Business Intelligence Tools. COMPUTERS -- Intelligence (AI) & Semantics. Machine learning Form Electronic book Author Quiñonero-Candela, Joaquin ISBN 9780262255103 0262255103 1282240382 9781282240384

  Permalink