Machine learning in non-stationary environments : introduction to covariate shift adaptation /

This volume focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) changes but the conditional distributions of outputs (answers) is unchanged, and presents machine learning theory algorithms, and applications to overcome this variet...

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Bibliographic Details

Main Author:	Sugiyama, Masashi, 1974-
Other Authors:	Kawanabe, Motoaki
Format:	eBook
Language:	English
Published:	Cambridge, Mass. : MIT Press, ©2012.
Series:	Adaptive computation and machine learning
Subjects:	Machine learning. COMPUTER SCIENCE/Machine Learning & Neural Networks COMPUTER SCIENCE/General COMPUTER SCIENCE/Artificial Intelligence Electronic books.
Online Access:	Connect to the full text of this electronic book