Title :
Use of bootstrap samples in quadratic classifier design
Author :
Miyamoto, T. ; Hamamoto, Y. ; Mitani, Y.
Author_Institution :
Fac. of Eng., Yamaguchi Univ., Ube, Japan
Abstract :
We propose to use bootstrap samples in designing an extended quadratic classifier. The proposed method is to generate bootstrap samples which have much information about distributions, and to optimise the extended quadratic classifier so that the error estimated by using bootstrap samples is minimized. The performance of the proposed classifier is demonstrated on real data
Keywords :
learning (artificial intelligence); optimisation; pattern classification; bootstrap samples; optimisation; pattern classification; quadratic classifier; training samples; Covariance matrix; Educational institutions; Error analysis; Estimation error; Humans; Nearest neighbor searches; Pattern recognition;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.906193
