Support vector machines, kernels,
and applications in computational biology

Jean-Philippe Vert and Toby Dylan Hocking

Mines ParisTech
ES Machine learning module
April 1st, 2011

A short course with practical session (4h) to introduce support vector machine, kernels, and their relevance for problems in computational biology.

Slides

Practical sessions

The goal of this practical session is to learn how to manipulate support vector machines, understand how they work, play with kernels and parameters, and apply them to simulated data and to a real application of cancer diagnosis from gene expression data.

Back to my homepage