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Learning with Support Vector Machines

Learning with Support Vector Machines

by Colin Campbell and Ying Yiming
Paperback
Publication Date: 28/02/2016

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$61.95
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.
ISBN:
9781608456161
9781608456161
Category:
Artificial intelligence
Format:
Paperback
Publication Date:
28-02-2016
Publisher:
Morgan & Claypool Publishers
Country of origin:
United States
Pages:
95
Dimensions (mm):
235x187x5mm
Weight:
0.19kg
Colin Campbell

A London Times and New York Times best-selling author, Lady Colin Campbell's several ground-breaking books on the British Royal Family include Diana in Private: The Princess Nobody Knows (1993), The Real Diana (2004), The Untold Life of Queen Elizabeth The Queen Mother (2012), The Queen's Marriage (2018); People of Colour and the Royals (2019) and Meghan and Harry: The Real Story (2020).


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