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Published by Springer International Publishing, 2015
ISBN 10: 3319253867 ISBN 13: 9783319253862
Language: English
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Published by Springer International Publishing Dez 2015, 2015
ISBN 10: 3319253867 ISBN 13: 9783319253862
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).
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Published by Springer International Publishing, Springer International Publishing Dez 2015, 2015
ISBN 10: 3319253867 ISBN 13: 9783319253862
Language: English
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Add to basketBuch. Condition: Neu. Neuware -This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods.Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal).Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 300 pp. Englisch.
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Add to basketHardcover. Condition: Brand New. 299 pages. 9.25x6.25x0.75 inches. In Stock.
Published by Springer International Publishing Dez 2015, 2015
ISBN 10: 3319253867 ISBN 13: 9783319253862
Language: English
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Add to basketBuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text presents a wide-ranging and rigorous overview of nearest neighbor methods, one of the most important paradigms in machine learning. Now in one self-contained volume, this book systematically covers key statistical, probabilistic, combinatorial and geometric ideas for understanding, analyzing and developing nearest neighbor methods. Gérard Biau is a professor at Université Pierre et Marie Curie (Paris). Luc Devroye is a professor at the School of Computer Science at McGill University (Montreal). 300 pp. Englisch.
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Add to basketCondition: New. PRINT ON DEMAND pp. 274.