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Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
A RBF classifier with supervised center selection and weighted norm
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2702-7
ASCII Text
x 
 
Rong Liu, Yong Shi, "A RBF classifier with supervised center selection and weighted norm," Data Mining Workshops, International Conference on, pp. 868-872, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICDMW.2006.20,
author = {Rong Liu and Yong Shi},
title = {A RBF classifier with supervised center selection and weighted norm},
journal ={Data Mining Workshops, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2702-7},
pages = {868-872},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICDMW.2006.20},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Data Mining Workshops, International Conference on
TI - A RBF classifier with supervised center selection and weighted norm
SN - 0-7695-2702-7
SP868
EP872
A1 - Rong Liu,
A1 - Yong Shi,
PY - 2006
KW - null
VL - 0
JA - Data Mining Workshops, International Conference on
ER -
 
Rong Liu, CAS Department of Mathematics, GUCAS Beijing 100080, China
Yong Shi, CAS Management School, GUCAS Beijing 100080, China
A variation of RBF (radial basis function) classifier based on supervised (or adaptively) ceneter selection and weighted norm is formulated and then tested in labeling overlapped data sets generated from two binormal distributions in this paper. Besides its simplicity, the experimental results and the comparsions to other classifiers suggest that this method is significant in capability owing to offering reasonable classifications with mild computation costs. Moreover, this variation outperforms the RBF based on exact interpolation not just in accuracy but in efficiency as well.
Citation:
Rong Liu, Yong Shi, "A RBF classifier with supervised center selection and weighted norm," icdmw, pp.868-872, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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