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Dataset Shift in Machine Learning

Contributor(s): Quinonero-Candela, Joaquin (Editor), Sugiyama, Masashi (Editor), Schwaighofer, Anton (Editor), Lawrence, Neil D (Editor)

ISBN: 9780262545877

Publisher: MIT Press

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Pub Date: June 7, 2022

Dewey: 006.31

Lexile Code: 0000

Target Age Group: 18 to UP

Physical Info: 0.52" H x 10.00" L x 8.00" W ( 1.09 lbs) 248 pages

Series: Neural Information Processing

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Description: 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.

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