Dataset shift in machine learning

This work is an overview of recent efforts in the machine learning community to deal with dataset and covariate shift which occurs when test and training inputs and outputs have different distributions.

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Bibliographic Details
Other Authors	Quiñonero-Candela, Joaquin
Format	Electronic eBook
Language	English
Published	Cambridge, Mass. : MIT Press, c2009.
Series	Neural information processing series.
Subjects	Machine learning. elektronické knihy electronic books
Online Access	Full text
ISBN	9780262255103
Physical Description	1 online zdroj (xv, 229 p.) : ill.

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Summary:	This work is an overview of recent efforts in the machine learning community to deal with dataset and covariate shift which occurs when test and training inputs and outputs have different distributions.
Bibliography:	Includes bibliographical references (p. 207-218) and index.
ISBN:	9780262255103
Access:	Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity
Physical Description:	1 online zdroj (xv, 229 p.) : ill.