Dataset Shift in Machine Learning

(Part of the Neural Information Processing Series)

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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 distribution of inputs and outputs differs between training and test stages. Covariate shift, a particular case of dataset shift, occurs when only the input distribution...

Format:Hardcover

Language:English

ISBN:0262170051

ISBN13:9780262170055

Release Date:December 2008

Publisher:MIT Press

Length:229 Pages

Weight:1.60 lbs.

Dimensions:0.7" x 8.2" x 10.2"

Age Range:18 years and up

Grade Range:Postsecondary and higher

Related Subjects

Computers Computers & Technology

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Dataset Shift in Machine Learning

(Part of the Neural Information Processing Series)

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