Variable Selection for Kernel Classifiers: A Feature-to-Input Space Approach

Surette Oosthuizen, Sarel Steel. Variable Selection for Kernel Classifiers: A Feature-to-Input Space Approach. In Andreas Fink, Berthold Lausen, Wilfried Seidel, Alfred Ultsch, editors, Advances in Data Analysis, Data Handling and Business Intelligence - Proceedings of the 32nd Annual Conference of the Gesellschaft für Klassifikation e.V., Joint Conference with the British Classification Society (BCS) and the Dutch/Flemish Classification Society (VOC), Helmut-Schmidt-University, Hamburg, July 16-18, 2008. Studies in Classification, Data Analysis, and Knowledge Organization, pages 157-166, Springer, 2008. [doi]

Abstract

Abstract is missing.