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
List price: £25.95
You save: 15%
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.

