Dataset Shift In Machine Learning

Editor: JoaquinQuinonero-Candela

Mit Press Ltd (United States), 2009
Hardback, 248 pages
Size: 254x203 mm
ISBN: 9780262170055
ISBN-10: 0262170051

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Joaquin Quinonero-Candela

Max-Planck Institute For Biological Cybernetics

Dataset Shift In Machine Learning

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 changes. This title offers an overview of the efforts to deal with dataset and covariate shift.

Related links:

Joaquin Quinonero-Candela
Machine learning
Artificial intelligence
Applications of computing
Computing and information technology
Mit Press Ltd

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Joaquin Quinonero-Candela
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