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Publicado por Springer International Publishing AG, Cham, 2011
ISBN 10: 3031004248 ISBN 13: 9783031004247
Idioma: Inglés
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Añadir al carritoPaperback. Condición: 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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Añadir al carritoPaperback or Softback. Condición: New. Learning with Support Vector Machines. Book.
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Publicado por Springer International Publishing AG, Cham, 2011
ISBN 10: 3031004248 ISBN 13: 9783031004247
Idioma: Inglés
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Añadir al carritoPaperback. Condición: 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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Publicado por Springer International Publishing, 2011
ISBN 10: 3031004248 ISBN 13: 9783031004247
Idioma: Inglés
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: 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.