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]
@inproceedings{OosthuizenS08,
title = {Variable Selection for Kernel Classifiers: A Feature-to-Input Space Approach},
author = {Surette Oosthuizen and Sarel Steel},
year = {2008},
doi = {10.1007/978-3-642-01044-6_14},
url = {http://dx.doi.org/10.1007/978-3-642-01044-6_14},
researchr = {https://researchr.org/publication/OosthuizenS08},
cites = {0},
citedby = {0},
pages = {157-166},
booktitle = {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},
editor = {Andreas Fink and Berthold Lausen and Wilfried Seidel and Alfred Ultsch},
series = {Studies in Classification, Data Analysis, and Knowledge Organization},
publisher = {Springer},
isbn = {978-3-642-01043-9},
}