Title :
Error estimation of the Gaussian ML classifier
Author_Institution :
Dept. of Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
29 Jun-4 Jul 1997
Abstract :
We investigate the relationship between the classification error and the Bhattacharyya distance of two normally distributed classes and propose a new formula which provides a much better error estimation of the Gaussian ML classifier
Keywords :
normal distribution; Bhattacharyya distance; Gaussian ML classifier; classification error; error estimation; normally distributed classes; Error analysis; Gaussian distribution; Hydrogen; Maximum likelihood estimation; Pattern recognition; Sampling methods;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613472
