EVOL: ensembles voting online

Author

Auda, Gasser ; Kamel, Mohamed

Author_Institution

Pattern Analysis & Machine Intelligence Lab., Waterloo Univ., Ont., Canada

Volume

2

fYear

1998

fDate

4-9 May 1998

Firstpage

1356

Abstract

Cooperation by voting is one of the popular modular neural network decision-making strategies. Ensemble classifiers are multiple identical modules which use voting for post-learning classification. This paper suggests a new cooperation scheme for ensembles which utilizes voting in the learning process itself. According to the suggested scheme, different modules would, automatically, focus on different regions in the input space. Hence, temporal crosstalk decreases and decision boundaries are drawn accurately in complex overlapping regions of the input space

Keywords

cooperative systems; learning (artificial intelligence); neural nets; pattern classification; real-time systems; cooperation; decision-making; ensemble classifiers; ensembles voting online; modular neural network; post-learning classification; Crosstalk; Decision making; Design engineering; Filtering; Machine intelligence; Multi-layer neural network; Neural networks; Pattern analysis; System analysis and design; Voting;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks Proceedings, 1998. IEEE World Congress on Computational Intelligence. The 1998 IEEE International Joint Conference on

Conference_Location

Anchorage, AK

ISSN

1098-7576

Print_ISBN

0-7803-4859-1

Type

conf

DOI

10.1109/IJCNN.1998.685972

Filename

685972