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Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing) [Special Indian Edition - Reprint Year: 2020]
Published by Springer Nature (Sie), 2020
ISBN 10: 1447174585 ISBN 13: 9781447174585
Language: English
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Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
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Data Complexity in Pattern Recognition (Advanced Information and Knowledge Processing)
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Data Complexity in Pattern Recognition
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Data Complexity in Pattern Recognition
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability.This book takes a close view of data complexity & its role in shaping the theories & techniques in different disciplines & asks:What is missing from current classification techniques When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data Uunique in its comprehensive coverage & multidisciplinary approach from various methodological & practical perspectives, researchers & practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.
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Add to basketCondition: New. Shows how to appreciate the presence and nature of patterns in specific problemsHelps the reader set proper expectations for classification performanceOffers guidance on choosing the best pattern recognition classification tec.
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Add to basketCondition: Brand New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Data Complexity in Pattern Recognition
Published by Springer London Okt 2010, 2010
ISBN 10: 1849965579 ISBN 13: 9781849965576
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance. 316 pp. Englisch.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shows how to appreciate the presence and nature of patterns in specific problemsHelps the reader set proper expectations for classification performanceOffers guidance on choosing the best pattern recognition classification tec.
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Data Complexity in Pattern Recognition
Published by Springer London, Springer London Okt 2010, 2010
ISBN 10: 1849965579 ISBN 13: 9781849965576
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Machines capable of automatic pattern recognition have many fascinating uses in science & engineering as well as in our daily lives. Algorithms for supervised classification, where one infers a decision boundary from a set of training examples, are at the core of this capability.This book takes a close view of data complexity & its role in shaping the theories & techniques in different disciplines & asks:What is missing from current classification techniques When the automatic classifiers are not perfect, is it a deficiency of the algorithms by design, or is it a difficulty intrinsic to the classification task How do we know whether we have exploited to the fullest extent the knowledge embedded in the training data Uunique in its comprehensive coverage & multidisciplinary approach from various methodological & practical perspectives, researchers & practitioners will find this book an insightful reference to learn about current available techniques as well as application areas.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 316 pp. Englisch.
