O'Reilly logo

An Introduction to Support Vector Machines and Other Kernel-based Learning Methods by Nello Cristianini, John Shawe-Taylor

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

8

Applications of Support Vector Machines

In this chapter we illustrate the use of the algorithms described in this book, by examining some interesting applications. Support Vector Machines have been applied to many real-world problems, so that the material in this chapter is by no means exhaustive. The role of this final chapter is to show how the approach can be used successfully in very diverse fields, and how the necessary design choices can be made in each case.

Applying the Support Vector approach to a particular practical problem involves resolving a number of design questions. We do not dwell on the question of precise specification of the input domain, generation of the training data, and so on. We treat these as given, though in ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required