Affiliation:
1. Telstra Research Laboratories, 770 Blackburn Clayton, Victoria, Australia
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.
Publisher
Association for Computing Machinery (ACM)
Reference4 articles.
1. L. M. Maneivitz and M. Yousef One-class SVMs for Document Classification Journal of Machine Learning Research} 2:139--154 2002. L. M. Maneivitz and M. Yousef One-class SVMs for Document Classification Journal of Machine Learning Research} 2:139--154 2002.
2. Estimating the Support of a High-Dimensional Distribution
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22 articles.
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