Title :
A RBF classifier with supervised center selection and weighted norm
Author :
Liu, Rong ; Shi, Yong
Author_Institution :
Dept. of Math., GUCAS
Abstract :
A variation of RBF (radial basis function) classifier based on supervised (or adaptively) center 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 comparisons 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
Keywords :
interpolation; learning (artificial intelligence); pattern classification; radial basis function networks; binormal distribution; exact interpolation; overlapped data set; radial basis function classifier; supervised center selection; weighted norm; Computational efficiency; Content addressable storage; Convergence; Interpolation; Learning systems; Neural networks; Neurons; Radial basis function networks; Supervised learning; Surface fitting;
Conference_Titel :
Data Mining Workshops, 2006. ICDM Workshops 2006. Sixth IEEE International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2702-7
DOI :
10.1109/ICDMW.2006.20
