Output kernel tree
published: Feb. 25, 2007, recorded: July 2006, views: 4537
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.
In this paper, we generalize tree-based methods to the prediction in structured output space. The extension is based on a kernelization of the algorithm that allows one to grow trees as soon as a kernel can be defined on the output space. The resulting algorithm, called output kernel trees (OK3), generalizes classification and regression trees in a principled way.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !