One Class SVM for Yeast Regulation Prediction Adam Kowalczyk and Bhavani Raskutti   View Paper (PDF)   Return to December 2002 - Volume 4, Issue 2 Abstract In this paper, we outline the main steps leading to the development of the winning solution for Task 2 of KDD Cup 2002 (Yeast Gene Regulation Prediction). Our unusual solution was a pair of linear classifiers in high dimensional space (~14,000), developed with just 38 and 84 training examples, respectively, all belonging to the target class only. The classifiers were built using the support vector machine approach outlined in the paper. DiSC'03 © 2003 Association for Computing Machinery