Kernel Methods and Support Vector Machines
published: July 30, 2009, recorded: June 2009, views: 2620
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Kernel methods have become a standard tool for pattern analysis during the last fifteen years since the introduction of support vector machines. We will introduce the key ideas and indicate how this approach to pattern analysis enables a relatively easy plug and play application of different tools. The problem of choosing and designing a kernel for specific types of data will also be considered and an overview of different kernels will be given.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !