Accuracy/diversity and ensemble MLP classifier design

T Windeatt

doi:10.1109/TNN.2006.875979

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Accuracy/diversity and ensemble MLP classifier design

Journal article

Open access

Peer reviewed

Accuracy/diversity and ensemble MLP classifier design

T Windeatt

IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol.17(5), pp.1194-1211

01/09/2006

DOI: https://doi.org/10.1109/TNN.2006.875979

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

Hardware & Architecture

Computer Science

Theory & Methods

Engineering

Electrical & Electronic

Computer Science

Engineering

Boolean

diversity

error-correcting output coding (ECOC)

face identification

multiple classifiers

RBF NEURAL-NETWORKS

FACE RECOGNITION

OUTPUT CODES

ACCURACY

ERROR

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Title: Accuracy/diversity and ensemble MLP classifier design
Creators: T Windeatt
Publication Details: IEEE TRANSACTIONS ON NEURAL NETWORKS, Vol.17(5), pp.1194-1211
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Date published: 01/09/2006
Date submitted: 05/12/2011
Identifiers: 99512384202346
Academic Unit: School of Computer Science and Electronic Engineering
Language: English
Resource Type: Journal article

Accuracy/diversity and ensemble MLP classifier design

Abstract

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