Kumar, R. ; Jayaraman, V. K. ; Kulkarni, B. D. (2005) An SVM classifier incorporating simultaneous noise reduction and feature selection: illustrative case examples Pattern Recognition, 38 (1). pp. 41-49. ISSN 0031-3203
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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S00313...
Related URL: http://dx.doi.org/10.1016/j.patcog.2004.06.002
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.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Elsevier Science. |
| Keywords: | Symbolization; Conditional Entropy; SVM; Classification |
| ID Code: | 17213 |
| Deposited On: | 16 Nov 2010 08:12 |
| Last Modified: | 06 Jun 2011 09:01 |
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