Borrowing Strength, Learning Vector Valued Functions and Supervised Dimension Reduction
published: Jan. 19, 2010, recorded: December 2009, views: 3926
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.
We study the problem of supervised dimension reduction from the perspective of learning vector valued functions and multi-task or hierarchical modeling in ai regularization framework. An algorithm is specied and empirical results are provided. In the second part of the talk the same problem of supervised dimension reduction for a hierarchical model is revisted from a non-parametric Bayesian perspective.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !