TY - GEN
T1 - A task decomposition algorithm using mixtures of normal distributions for classification problems
AU - Ishihara, Seiji
AU - Igarashi, Harukazu
PY - 2006/12/1
Y1 - 2006/12/1
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 a mixture of normal distributions, and the number of subsets is defined by using MDL criterion. The algorithm can be applied for constructing an effective modular neural network. We show also the experimental results of the construction and the advantages of the algorithm.
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 a mixture of normal distributions, and the number of subsets is defined by using MDL criterion. The algorithm can be applied for constructing an effective modular neural network. We show also the experimental results of the construction and the advantages of the algorithm.
UR - http://www.scopus.com/inward/record.url?scp=40249090253&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=40249090253&partnerID=8YFLogxK
U2 - 10.1109/HIS.2006.264911
DO - 10.1109/HIS.2006.264911
M3 - Conference contribution
AN - SCOPUS:40249090253
SN - 0769526624
SN - 9780769526621
T3 - Proceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
BT - Proceedings - Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
T2 - 6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006
Y2 - 13 December 2006 through 15 December 2006
ER -