Features

We are organizing a new pattern recognition challenge entitled:

Performance Prediction Challenge
http://www.modelselect.inf.ethz.ch/

How good are you at predicting how good you are?

Find out: compete to predict accurately your generalization performance. This problem, which is of great practical importance e.g. in pilot studies, poses theoretical and computational challenges. Is cross-validation the best solution? What should k be in k-fold? Can one use theoretical performance bounds to better assess generalization?

You will have opportunities to publish at WCCI 2006 (Vancouver, July 2006) and in a special issue of JMLR. Check the web site!