DocumentCode
1743041
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
Volume
2
fYear
2000
fDate
2000
Firstpage
789
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.906193
Filename
906193
Link To Document