Not logged in.

Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Competitive baseline methods set new standards for the NIPS 2003 feature selection benchmark
Organization Unit
  • Isabelle Guyon
  • Jiwen Li
  • Theodor Mador
  • Patrick A. Pletscher
  • Gerold Schneider
  • Markus Uhr
Item Subtype Original Work
Refereed Yes
Status Published in final form
Journal Title Pattern Recognition Letters
Geographical Reach international
Volume 28
Number 12
Page Range 1438 - 1444
Date 2007
Abstract Text 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. These results also provide a new baseline for researchers in feature selection.
PDF File Download
Export BibTeX