@article{ART001820949},
author={이수종 and Gyeongyong Heo},
title={Supervised Rank Normalization for Support Vector Machines},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2013},
volume={18},
number={11},
pages={31-38}
TY - JOUR
AU - 이수종
AU - Gyeongyong Heo
TI - Supervised Rank Normalization for Support Vector Machines
JO - Journal of The Korea Society of Computer and Information
PY - 2013
VL - 18
IS - 11
PB - The Korean Society Of Computer And Information
SP - 31
EP - 38
SN - 1598-849X
AB - Feature normalization as a pre-processing step has been widely used in classification problems to reduce the effect of different scale in each feature dimension and error as a result. Most of the existing methods, however, assume some distribution function on feature distribution. Even worse,existing methods do not use the labels of data points and, as a result, do not guarantee the optimality of the normalization results in classification. In this paper, proposed is a supervised rank normalization which combines rank normalization and a supervised learning technique. The proposed method does not assume any feature distribution like rank normalization and uses class labels of nearest neighbors in classification to reduce error. SVM, in particular, tries to draw a decision boundary in the middle of class overlapping zone, the reduction of data density in that area helps SVM to find a decision boundary reducing generalized error. All the things mentioned above can be verified through experimental results
KW - Support vector machine;Feature normalization;Rank Normalization;Supervised learning
DO -
UR -
ER -
이수종 and Gyeongyong Heo. (2013). Supervised Rank Normalization for Support Vector Machines. Journal of The Korea Society of Computer and Information, 18(11), 31-38.
이수종 and Gyeongyong Heo. 2013, "Supervised Rank Normalization for Support Vector Machines", Journal of The Korea Society of Computer and Information, vol.18, no.11 pp.31-38.
이수종, Gyeongyong Heo "Supervised Rank Normalization for Support Vector Machines" Journal of The Korea Society of Computer and Information 18.11 pp.31-38 (2013) : 31.
이수종, Gyeongyong Heo. Supervised Rank Normalization for Support Vector Machines. 2013; 18(11), 31-38.
이수종 and Gyeongyong Heo. "Supervised Rank Normalization for Support Vector Machines" Journal of The Korea Society of Computer and Information 18, no.11 (2013) : 31-38.
이수종; Gyeongyong Heo. Supervised Rank Normalization for Support Vector Machines. Journal of The Korea Society of Computer and Information, 18(11), 31-38.
이수종; Gyeongyong Heo. Supervised Rank Normalization for Support Vector Machines. Journal of The Korea Society of Computer and Information. 2013; 18(11) 31-38.
이수종, Gyeongyong Heo. Supervised Rank Normalization for Support Vector Machines. 2013; 18(11), 31-38.
이수종 and Gyeongyong Heo. "Supervised Rank Normalization for Support Vector Machines" Journal of The Korea Society of Computer and Information 18, no.11 (2013) : 31-38.
