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Title Cost-sensitive machine learning / edited by Balaji Krishnapuram, Shipeng Yu, Bharat Rao. [O'Reilly electronic resource]

Imprint Boca Raton, FL : CRC Press, ©2012.
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Available on O'Reilly for Public Libraries
Bookmark link: https://library.naperville-lib.org:444/record=b3158761~S1
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Description 1 online resource : illustrations
Series Chapman & Hall/CRC machine learning & pattern recognition series
Chapman & Hall/CRC machine learning & pattern recognition series.
Bibliography Includes bibliographical references.
Contents pt. 1. Theoretical underpinnings of cost-sensitive machine learning -- pt. 2. Cost-sensitive machine learning applications.
Summary In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include: Cost of acquiring training dataCost of data annotation/labeling and cleaningComputational cost for model fitting, validation, and testingCost of collecting features/attributes for test dataCost of user feedback collectionCost of incorrect prediction/classificationCost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost o.
Subject Machine learning -- Cost effectiveness.
Apprentissage automatique -- Coût-efficacité.
Machine learning
Added Author Krishnapuram, Balaji.
Yu, Shipeng.
Rao, Bharat.
Other Form: Print version: Cost-sensitive machine learning. Boca Raton, FL : CRC Press, ©2012 9781439839256 (DLC) 2011284986 (OCoLC)495781185
ISBN 9781439839287 (electronic bk.)
143983928X (electronic bk.)
9781466548176 (e-book)
1466548177
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