Improved support vector machine generalization using normalized input space

Ali, Shawkat and Smith-Miles, Kate 2006, Improved support vector machine generalization using normalized input space, Lecture notes in computer science, vol. 4304, pp. 362-371, doi: 10.1007/11941439_40.

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Title Improved support vector machine generalization using normalized input space
Author(s) Ali, Shawkat
Smith-Miles, Kate
Journal name Lecture notes in computer science
Volume number 4304
Start page 362
End page 371
Publisher Springer-Verlag
Place of publication Heidelberg, Germany
Publication date 2006
ISSN 0302-9743
Keyword(s) normalization
support vector machines
Summary Data pre-processing always plays a key role in learning algorithm performance. In this research we consider data pre-processing by normalization for Support Vector Machines (SVMs). We examine the normalization affect across 112 classification problems with SVM using the rbf kernel. We observe a significant classification improvement due to normalization. Finally we suggest a rule based method to find when normalization is necessary for a specific classification problem. The best normalization method is also automatically selected by SVM itself.
Language eng
DOI 10.1007/11941439_40
Field of Research 080199 Artificial Intelligence and Image Processing not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2006, Springer-Verlag
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