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: eBook
Language: English
Published: Cambridge, Mass. : MIT Press, c2009.
Series: Neural information processing series.
Subjects:
Machine learning.
elektronické knihy
electronic books
ISBN: 9780262255103
Physical Description: 1 online zdroj (xv, 229 p.) : ill.

Cover

Table of contents

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245 0 0 |a Dataset shift in machine learning  |h [elektronický zdroj] /  |c [edited by] Joaquin Quiñonero-Candela ... [et al.]. 
260 |a Cambridge, Mass. :  |b MIT Press,  |c c2009. 
300 |a 1 online zdroj (xv, 229 p.) :  |b ill. 
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490 1 |a Neural information processing series 
504 |a Includes bibliographical references (p. 207-218) and index. 
520 8 |a 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
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655 9 |a electronic books  |2 eczenas 
700 1 |a Quiñonero-Candela, Joaquin. 
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