TY - GEN

T1 - A task decomposition algorithm using radial basis functions for classification problems

AU - Ishihara, Seiji

AU - Igarashi, Harukazu

PY - 2005/12/1

Y1 - 2005/12/1

N2 - This paper proposes an algorithm for decomposing a multi-class classification problem into a set of two-class classification problems. The algorithm divides a set of input pattern vectors in each class into subsets according to the distribution of the selected input pattern vectors. The distribution is represented by RBF network, whose parameters are estimated according to the evaluation based on MDL criterion. In this paper, the algorithm applied for constructing a modular neural network. Experimental results showed that the algorithm simplifies multi-class classification problems effectively.

AB - This paper proposes an algorithm for decomposing a multi-class classification problem into a set of two-class classification problems. The algorithm divides a set of input pattern vectors in each class into subsets according to the distribution of the selected input pattern vectors. The distribution is represented by RBF network, whose parameters are estimated according to the evaluation based on MDL criterion. In this paper, the algorithm applied for constructing a modular neural network. Experimental results showed that the algorithm simplifies multi-class classification problems effectively.

UR - http://www.scopus.com/inward/record.url?scp=33846990106&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33846990106&partnerID=8YFLogxK

U2 - 10.1109/DICTA.2005.1578100

DO - 10.1109/DICTA.2005.1578100

M3 - Conference contribution

AN - SCOPUS:33846990106

SN - 0769524672

SN - 9780769524672

T3 - Proceedings of the Digital Imaging Computing: Techniques and Applications, DICTA 2005

SP - 2

EP - 7

BT - Proceedings of the Digital Imaging Computing

T2 - Digital Imaging Computing: Techniques and Applications, DICTA 2005

Y2 - 6 December 2005 through 8 December 2005

ER -