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Published by Cambridge University Press, 2014
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Published by Cambridge University Press 2014-03-06, 2014
ISBN 10: 1107653118 ISBN 13: 9781107653115
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Published by Cambridge University Press, 2011
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Published by Cambridge University Press, 2011
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Published by Cambridge University Press, 2011
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Published by Cambridge University Press, 2014
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for conducting performance evaluations of algorithms in practical settings.
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Published by Cambridge University Press, 2014
ISBN 10: 1107653118 ISBN 13: 9781107653115
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Published by Cambridge University Press, 2011
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Published by Cambridge University Press, 2011
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for conducting performance evaluations of algorithms in practical settings.
Language: English
Published by Cambridge University Press, 2014
ISBN 10: 1107653118 ISBN 13: 9781107653115
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Published by Cambridge University Press, 2014
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Published by Cambridge University Press, 2013
ISBN 10: 1107653118 ISBN 13: 9781107653115
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Taschenbuch. Condition: Neu. Evaluating Learning Algorithms | A Classification Perspective | Nathalie Japkowicz (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | Cambridge University Press | EAN 9781107653115 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Published by Cambridge University Press, 2011
ISBN 10: 0521196000 ISBN 13: 9780521196000
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Buch. Condition: Neu. Evaluating Learning Algorithms | A Classification Perspective | Nathalie Japkowicz (u. a.) | Buch | Gebunden | Englisch | 2011 | Cambridge University Press | EAN 9780521196000 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.