Title Machine learning in non-stationary environments : introduction to covariate shift adaptation / Masashi Sugiyama and Motoaki Kawanabe.

Publication Info.	Cambridge, Mass. : MIT Press, [2012]
	©2012

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Description	1 online resource (xiv, 261 pages) : illustrations.
Physical Medium	polychrome
Description	text file
Series	Adaptive computation and machine learning
	Adaptive computation and machine learning.
Bibliography	Includes bibliographical references and index.
Summary	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 variety of non-stationarity.
Local Note	eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject	Machine learning.
	Machine learning.
Genre/Form	Electronic books.
Added Author	Kawanabe, Motoaki.
Other Form:	Print version: Sugiyama, Masashi, 1974- Machine learning in non-stationary environments. Cambridge, Mass. : MIT Press, ©2012 9780262017091 (DLC) 2011032824 (OCoLC)752909553
ISBN	9780262301220 (electronic book)
	0262301229 (electronic book)
	9780262017091
	0262017091
Standard No.	9786613594457