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Dataset Shift in Machine Learning (Neural Information Processing series)
Language: English
Published by The MIT Press, Cambridge, Mass., 2009
ISBN 10: 0262170051 ISBN 13: 9780262170055
First Edition
Hardcover. Condition: Near Fine. Dust Jacket Condition: Near Fine. 1st Edition. Date on copy right is 2009 and has "1" on the number line. Interior pages are clean and bright; binding is firm - no loose pages. There are no tears, writing or folds on inside pages. . This NOT an Ex-lib; A remainder- mark on bottom edge. DJ bright and clean with light shelf wear. Not price clipped .
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Dataset Shift in Machine Learning (Neural Information Processing Series)
Seller: JuddSt.Pancras, London, United Kingdom
Association Member: PBFA
Seller rating 4 out of 5 stars
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Dataset Shift in Machine Learning (Neural Information Processing series)
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Condition: New.
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Add to basketSoftcover. Condition: As New. Leichte Kratzer / Abnutzungen / Druckstellen. This volume provides an overview of recent efforts in the machine learning community to address dataset and covariate shift, which occur when training and test inputs and outputs have differing distributions. Dataset shift is a prevalent issue in predictive modeling, arising when the joint distribution of inputs and outputs varies between training and testing phases. Covariate shift, a specific instance of dataset shift, happens when only the input distribution changes. This problem is common in practical applications, influenced by factors such as experimental design bias and the unreliability of testing conditions during training. For example, email spam filters may struggle to identify new spam forms that differ from the training data. Despite its significance, dataset shift has historically received limited attention compared to related topics like semi-supervised and active learning. The chapters in this volume provide a mathematical and philosophical introduction to the issue, contextualize dataset shift within transfer learning, transduction, local learning, active learning, and semi-supervised learning, and present theoretical perspectives, including decision-theoretic and Bayesian views. Additionally, algorithms for addressing covariate shift are discussed.
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Condition: As New. Unread book in perfect condition.
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Dataset Shift in Machine Learning
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Dataset Shift in Machine Learning (Neural Information Processing series)
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Dataset Shift in Machine Learning
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Dataset Shift in Machine Learning (Neural Information Processing series)
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Paperback or Softback. Condition: New. Dataset Shift in Machine Learning. Book.
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Dataset Shift in Machine Learning
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Add to basketPaperback. Condition: Brand New. 248 pages. 10.00x8.00x0.56 inches. In Stock.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Dataset Shift in Machine Learning
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Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Dataset Shift in Machine Learning
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Joaquin Quiñonero-CandelaJoaquin Quiñonero-Candela is a Researcher in the Online Services and Advertising Group at Microsoft Research Cambridge, U.K. Masashi SugiyamaMasashi Sugiyama is Director of the RIKEN .
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
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Taschenbuch. Condition: Neu. Dataset Shift in Machine Learning | Joaquin Quinonero-Candela (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | MIT Press | EAN 9780262545877 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
