Dataset Shift in Machine Learning Paperback by edited by Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence Condition:New Equal parts Bukowski and Portis

Dataset Shift in Machine Learning Paperback by edited by Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, and Neil D. Lawrence Condition:New Equal parts Bukowski and PortisProduct Details Publisher: The MIT Press (2022 06 07) Language: English Paperback: 248 pages ISBN 13: 9780262545877 Item Weight: 368. 55 grams Dimensions: 0. 0 x 0. 0 x 0. 0 cm 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. Dataset shift is a common problem in predictive modeling that occurs when the joint

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