Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st ed. 2018 edition NO-PA16APR2015-KAP.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Language: English
Published by Routledge 2018-08-08, 2018
ISBN 10: 1138302171 ISBN 13: 9781138302174
Seller: Chiron Media, Wallingford, United Kingdom
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Language: English
Published by Springer-Verlag New York Inc, 2018
ISBN 10: 3030016196 ISBN 13: 9783030016197
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 76 pages. 9.00x6.00x0.50 inches. In Stock.
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 199 pages. 9.00x6.00x0.75 inches. In Stock.
Language: English
Published by Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3030016196 ISBN 13: 9783030016197
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This SpringerBrief covers the technical material related to large scale hierarchical classification (LSHC). HC is an important machine learning problem that has been researched and explored extensively in the past few years. In this book, the authors provide a comprehensive overview of various state-of-the-art existing methods and algorithms that were developed to solve the HC problem in large scale domains. Several challenges faced by LSHC is discussed in detail such as: 1. High imbalance between classes at different levels of the hierarchy2. Incorporating relationships during model learning leads to optimization issues 3. Feature selection 4. Scalability due to large number of examples, features and classes 5. Hierarchical inconsistencies 6. Error propagation due to multiple decisions involved in making predictions for top-down methodsThe brief also demonstrates how multiple hierarchies can be leveraged forimproving the HC performance using different Multi-Task Learning (MTL) frameworks.The purpose of this book is two-fold:1. Help novice researchers/beginners to get up to speed by providing a comprehensive overview of several existing techniques. 2. Provide several research directions that have not yet been explored extensively to advance the research boundaries in HC.New approaches discussed in this book include detailed information corresponding to the hierarchical inconsistencies, multi-task learning and feature selection for HC. Its results are highly competitive with the state-of-the-art approaches in the literature.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
First Edition
Condition: New. This book helps unravel the relationship of pure sequence information and three-dimensional structure, which remains one of the great fundamental problems in molecular biology and bioinformatics. Editor(s): Rangwala, Huzefa; Karypis, George. Series: Wiley Series in Bioinformatics. Num Pages: 500 pages, Illustrations. BIC Classification: PSBC. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 164 x 34. Weight in Grams: 952. . 2010. 1st Edition. hardcover. . . . .
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Gebunden. Condition: New. DR. HUZEFA RANGWALA is an assistant professor in computer science and bioengineering at George Mason University. He has published in various conferences and journals on the topic of bioinformatics.DR. GEORGE KARYPIS is a professor in computer science and en.
Language: English
Published by Taylor & Francis Ltd, 2018
ISBN 10: 1138302139 ISBN 13: 9781138302136
Seller: Buchpark, Trebbin, Germany
Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Learning Analytics in Higher Education provides a foundational understanding of how learning analytics is defined, what barriers and opportunities exist, and how it can be used to improve practice, including strategic planning, course development, teaching pedagogy, and student assessment.
Condition: New. This book helps unravel the relationship of pure sequence information and three-dimensional structure, which remains one of the great fundamental problems in molecular biology and bioinformatics. Editor(s): Rangwala, Huzefa; Karypis, George. Series: Wiley Series in Bioinformatics. Num Pages: 500 pages, Illustrations. BIC Classification: PSBC. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 239 x 164 x 34. Weight in Grams: 952. . 2010. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by John Wiley & Sons Inc, 2010
ISBN 10: 0470470593 ISBN 13: 9780470470596
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 1st edition. 516 pages. 9.37x6.38x1.34 inches. In Stock.
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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