PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Teaching machine learning from examples
Isabelle Guyon, Jiwen Li, Theodor Mader, Patrick Pletscher, Georg Schneider and Markus Uhr
Technical Memorandum 2006.

Abstract

We used the datasets of the NIPS 2003 challenge on feature selection as part of the practical work of an undergraduate course on feature extraction. The students were provided with a toolkit implemented in Matlab. Part of the course requirements was that they should outperform given baseline methods. The results were beyond expectations: the student matched or exceeded the performance of the best challenge entries and achieved very effective feature selection with simple methods. We make available to the community the results of this experiment and the corresponding teaching material at http://clopinet.com/isabelle/Projects/ETH/Feature_Selection_w_CLOP.html.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:2472
Deposited By:Isabelle Guyon
Deposited On:22 November 2006