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

2

Linear Learning Machines

In supervised learning, the learning machine is given a training set of examples (or inputs) with associated labels (or output values). Usually the examples are in the form of attribute vectors, so that the input space is a subset of imagesn. Once the attribute vectors are available, a number of sets of hypotheses could be chosen for the problem. Among these, linear functions are the best understood and simplest to apply. Traditional statistics and the classical neural networks literature have developed many methods for discriminating between two classes of instances using linear functions, as well as methods for interpolation ...

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