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 -