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Learning with Support Vector Machines (Paperback)
Loot Price: R866
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Learning with Support Vector Machines (Paperback)
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning
Expected to ship within 10 - 15 working days
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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
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