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Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation
By
Masashi Sugiyama,
Masashi Sugiyama
Masashi Sugiyama is Associate Professor in the Department of Computer Science at Tokyo Institute of Technology.
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Motoaki Kawanabe
Motoaki Kawanabe
Motoaki Kawanabe is a Postdoctoral Researcher in Intelligent Data Analysis at the Fraunhofer FIRST Institute, Berlin.
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The MIT Press
ISBN electronic:
9780262301220
Publication date:
2012
Book Chapter
II: LEARNING UNDER COVARIATE SHIFT
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Published:2012
Citation
2012. "LEARNING UNDER COVARIATE SHIFT", Machine Learning in Non-Stationary Environments: Introduction to Covariate Shift Adaptation, Masashi Sugiyama, Motoaki Kawanabe
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