(Paperback)
By: Joaquin Quinonero-Candela
ISBN: 9780262545877
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Readership/Audience: Tertiary Education
Publication Date: Jun 2022
Publisher: MIT Press Ltd
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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.
(Paperback)
By: Guy Van den Broeck
ISBN: 9780262542593
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Readership/Audience: General
Publication Date: Sep 2021
Publisher: MIT Press Ltd
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"The book presents an introduction to, and an authoritative guide, for anyone interested in the problem of probabilistic inference in the presence of symmetries/structured models"--
(Paperback)
By: Aleksandr Aravkin
ISBN: 9780262553469
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Readership/Audience: General
Publication Date: Dec 2024
Publisher: MIT Press Ltd
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(Paperback)
By: Suvrit Sra
ISBN: 9780262537766
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Readership/Audience: Professional and Scholarly
Publication Date: Sep 2011
Publisher: MIT Press Ltd
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An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.
(Paperback)
By: Tamir Hazan
ISBN: 9780262549943
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Readership/Audience: Professional and Scholarly
Publication Date: Dec 2023
Publisher: MIT Press Ltd
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(Paperback)
By: Rajesh P.N. Rao
ISBN: 9780262526272
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Readership/Audience: Professional and Scholarly
Publication Date: Mar 2002
Publisher: MIT Press Ltd
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A survey of probabilistic approaches to modeling and understanding brain function.
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