Title :
The characterization of classification problems by classifier disagreements
Author :
R.P.W. Duin;E. Pekalska;D.M.J. Tax
Author_Institution :
Fac. of Electr. Eng., Math. & Comput. Sci., Delft Univ. of Technol., Netherlands
fDate :
6/26/1905 12:00:00 AM
Abstract :
In this paper we try to characterize a set of classification problems. For this, we use the disagreement between a set of standard classifiers. The disagreement patterns do not only point towards different types of classification problems, but also indicate the novelty and the usefulness of a classifier with respect to a set of classification problems and classifiers. Some experiments show when known classification problems become unknown after changing their feature size or their training set size.
Keywords :
"Pattern recognition","Mathematics","Computer science","Buildings","Standards development"
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334027