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. Dataset shift is present in most prac...

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Bibliographic Details

Main Authors:	Quinonero-Candela, Joaquin, Sugiyama, Masashi, Schwaighofer, Anton, Lawrence, Neil D
Format:	eBook Book
Language:	English
Published:	Cambridge, Mass MIT Press 2008 The MIT Press
Edition:	1
Series:	Neural Information Processing series
Subjects:	Computer Science Computing and Processing Machine learning Machine Learning & Neural Networks Mathematical models
ISBN:	0262170051, 9780262170055
Online Access:	Get full text
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