SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples
| Title | SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples |
| Publication Type | Journal Article |
| Year of Publication | 2005 |
| Authors | Kumar, R, Jayaraman, VK, Kulkarni, BD |
| Journal | Pattern Recognition |
| Volume | 38 |
| Issue | 1 |
| Pagination | 41-49 |
| Date Published | JAN |
| Type of Article | Article |
| ISSN | 0031-3203 |
| Keywords | classification, conditional entropy, SVM, symbolization |
| Abstract | A hybrid technique involving symbolization of data to remove noise and use of conditional entropy minima to extract relevant and non-redundant features is proposed in conjunction with support vector machines to obtain more robust classification algorithm. The technique tested on three data sets shows improvements in classification efficiencies. (C) 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved. |
| DOI | 10.1016/j.patcog.2004.06.002 |
| Type of Journal (Indian or Foreign) | Foreign |
| Impact Factor (IF) | 3.399 |
Divison category:
Chemical Engineering & Process Development