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Learning Support Vector Machines by Campbell Colin (13 results)
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Soft Cover. Condition: Good. Ex-library with the usual features. Library label on front cover. The interior is clean and tight. Binding is good. Cover shows light wear. Ex-Library.
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Learning with Support Vector Machines (Paperback)
Published by Springer International Publishing AG, Cham, 2011
ISBN 10: 3031004248 ISBN 13: 9783031004247
Language: English
Paperback. Condition: new. Paperback. Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing. In this book we give an introductory overview of this subject. We start with a simple Support Vector Machine for performing binary classification before considering multi-class classification and learning in the presence of noise. We show that this framework can be extended to many other scenarios such as prediction with real-valued outputs, novelty detection and the handling of complex output structures such as parse trees. Finally, we give an overview of the main types of kernels which are used in practice and how to learn and make predictions from multiple types of input data. Table of Contents: Support Vector Machines for Classification / Kernel-based Models / Learning with Kernels Support Vectors Machines have become a well established tool within machine learning. We start with a simple Support Vector Machine for performing binary classification before considering multi-class classification and learning in the presence of noise. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback or Softback. Condition: New. Learning with Support Vector Machines. Book.
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Condition: New.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Learning with Support Vector Machines (Synthesis Lectures on Artificial Intelligence and Machine Learning)
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Learning with Support Vector Machines
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Condition: New. 2011. Paperback. . . . . . Books ship from the US and Ireland.
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Learning with Support Vector Machines (Paperback)
Published by Springer International Publishing AG, Cham, 2011
ISBN 10: 3031004248 ISBN 13: 9783031004247
Language: English
US$ 73.14
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Support Vectors Machines have become a well established tool within machine learning. They work well in practice and have now been used across a wide range of applications from recognizing hand-written digits, to face identification, text categorisation, bioinformatics, and database marketing. In this book we give an introductory overview of this subject. We start with a simple Support Vector Machine for performing binary classification before considering multi-class classification and learning in the presence of noise. We show that this framework can be extended to many other scenarios such as prediction with real-valued outputs, novelty detection and the handling of complex output structures such as parse trees. Finally, we give an overview of the main types of kernels which are used in practice and how to learn and make predictions from multiple types of input data. Table of Contents: Support Vector Machines for Classification / Kernel-based Models / Learning with Kernels Support Vectors Machines have become a well established tool within machine learning. We start with a simple Support Vector Machine for performing binary classification before considering multi-class classification and learning in the presence of noise. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Learning with Support Vector Machines
Published by Springer International Publishing, 2011
ISBN 10: 3031004248 ISBN 13: 9783031004247
Language: English
US$ 34.01
Convert currencyUS$ 56.92 shipping from Germany to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Colin Campbell holds a BSc degree in physics from Imperial College, London, and a PhD in mathematics from King s College, London. He joined the Faculty of Engineering at the University of Bristol in 1990 where he is currently a Reader. His main interest.
