Parsimonious Kernel Fisher Discrimination
Pasupa, Kitsuchart, Harrison, Robert F. and Willett, Peter (2007) Parsimonious Kernel Fisher Discrimination. At Proceeding of 3rd Iberian Conference on Pattern Recognition and Image Analysis (IbPria'2007), Girona, Spain, 06 - 08 Jun 2007. Springer Berlin / Heidelberg, 531-538.
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Description/Abstract
By applying recent results in optimization transfer, a new algorithm for kernel Fisher Discriminant Analysis is provided that makes use of a non-smooth penalty on the coefficients to provide a parsimonious solution. The algorithm is simple, easily programmed and is shown to perform as well as or better than a number of leading machine learning algorithms on a substantial benchmark. It is then applied to a set of extreme small-sample-size problems in virtual screening where it is found to be less accurate than a currently leading approach but is still comparable in a number of cases.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Event Dates: 6-8 June 2007 |
| ISBNs: | 9783540728467 |
| ISSNs: | 0302-9743 |
| Related URLs: | |
| Divisions: | Faculty of Physical and Applied Science > Electronics and Computer Science |
| Item ID: | 266582 |
| Date Deposited: | 19 Aug 2008 22:27 |
| Last Modified: | 02 Mar 2012 11:40 |
| Contributors: | Pasupa, Kitsuchart (Author) Harrison, Robert F. (Author) Willett, Peter (Author) |
| Date: | 6 June 2007 |
| Additional Information: | Event Dates: 6-8 June 2007 |
| Status: | Published |
| Publisher: | Springer Berlin / Heidelberg |
| Further Information: | Google Scholar |
| ISI Citation Count: | 1 |
| URI: | http://eprints.soton.ac.uk/id/eprint/266582 |
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