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INFFUS
2002
108views more  INFFUS 2002»
13 years 4 months ago
Relationships between combination methods and measures of diversity in combining classifiers
This study looks at the relationships between different methods of classifier combination and different measures of diversity. We considered ten combination methods and ten measur...
Catherine A. Shipp, Ludmila Kuncheva
MCS
2002
Springer
13 years 4 months ago
New Measure of Classifier Dependency in Multiple Classifier Systems
Abstract. Recent findings in the domain of combining classifiers provide a surprising revision of the usefulness of diversity for modelling combined performance. Although there is ...
Dymitr Ruta, Bogdan Gabrys
IJCNN
2007
IEEE
13 years 11 months ago
Distance-based Disagreement Classifiers Combination
— We present a methodology to analyze Multiple Classifiers Systems (MCS) performance, using the diversity concept. The goal is to define an alternative approach to the convention...
Cinthia Obladen de Almendra Freitas, João M...
DMIN
2006
158views Data Mining» more  DMIN 2006»
13 years 6 months ago
Ensemble Selection Using Diversity Networks
- An ideal ensemble is composed of base classifiers that perform well and that have minimal overlap in their errors. Eliminating classifiers from an ensemble based on a criterion t...
Qiang Ye, Paul W. Munro
HICSS
2002
IEEE
93views Biometrics» more  HICSS 2002»
13 years 9 months ago
A Combination Measurement for Studying Disorientation
The disorientation problem has been known to exist on hypertext and hypermedia systems. Various approaches have also been recommended and implemented in order to eliminate or redu...
Noor F. M. Yatim