Ruta D, Gabrys B. A theoretical analysis of the limits of majority voting errors for multiple classifier systems. Pattern Analysis and Applications (submitted). Home/Search Document Details and Download
Summary Related Articles Check |
This paper is cited in the following contexts:
`Fuzzy' vs `Non-fuzzy' in Combining Classifiers Designed by.. - Kuncheva (Correct)
....= d i;j : 5) Ties are resolved arbitrarily. This rule is often called in the literature the majority vote. It will indeed coincide with the simple majority (50 of the votes 1) in the case of two classes (c = 2) Various studies are devoted to the majority vote for classi er combination [1, 2, 16, 17, 19], etc. The remaining simple combination methods require soft labels. The Minimum simple combiner operates by taking the minimum in each column thereby forming the vector D(x) 1 (x) c (x) as j (x) F (d 1;j (x) d L;j (x) j = 1; c; 6) where F stands for ....
D. Ruta and B. Gabrys. A theoretical analysis of the limits of majority voting errors for multiple classi er systems. Technical Report 11, ISSN 1461-6122, Department of Computing and Information Systems, University of Paisley, December 2000.
Analysis of the Correlation between Majority Voting Error and.. - Ruta, Gabrys (2001) Self-citation (Ruta Gabrys) (Correct)
No context found.
Ruta D, Gabrys B. A theoretical analysis of the limits of majority voting errors for multiple classifier systems. Pattern Analysis and Applications (submitted).
New Measure of Classifier Dependency in Multiple Classifier.. - Ruta, Gabrys (2002) Self-citation (Ruta Gabrys) (Correct)
No context found.
Ruta D., Gabrys B.: A theoretical analysis of the limits of majority voting errors for multiple classifier systems. To appear in the journal of Pattern Analysis and Applications.
Set Analysis of Coincident Errors and Its Applications for.. - Ruta, Gabrys Self-citation (Ruta Gabrys) (Correct)
No context found.
Ruta D, Gabrys B. A theoretical analysis of the limits of majority voting errors for multiple classifier systems. Pattern Analysis and Applications, accepted.
Classifier Selection for Majority Voting - Ruta, Gabrys Self-citation (Ruta Gabrys) (Correct)
No context found.
D. Ruta and B. Gabrys. A theoretical analysis of the limits of majority voting errors for multiple classifier systems. Pattern Analysis and Applications, 5(4):333--350, 2002.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC