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Dataset Shift in Machine Learning$
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Dataset Shift in Machine Learning

Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence

Print publication date: 2008

Print ISBN-13: 9780262170055

Published to MIT Press Scholarship Online: August 2013

DOI: 10.7551/mitpress/9780262170055.001.0001

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PRINTED FROM MIT PRESS SCHOLARSHIP ONLINE (www.mitpress.universitypressscholarship.com). (c) Copyright The MIT Press, 2021. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in MITSO for personal use.date: 21 September 2021

Author Comments

Author Comments

Chapter:
(p.200) (p.201) 11 Author Comments
Source:
Dataset Shift in Machine Learning
Author(s):

Shimodaira Hidetoshi

Sugiyama Masashi

Storkey Amos

Gretton Arthur

David Shai-Ben

Publisher:
The MIT Press
DOI:10.7551/mitpress/9780262170055.003.0011

This chapter presents comments by the authors about dataset shift in machine learning. Topics covered include covariate shift and misspecification; and whether importance weighting is needed under covariate shift.

Keywords:   dataset shift, machine learning, covariate shift, importance weighting

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