From designing a single neural network to designing neural network ensembles

This paper introduces supervised learning model, and surveys related research work. The paper is organised as follows. A supervised learning model is firstly described. The bias-variance trade-off is then discussed for the supervised learning model. Based on the bias-variance trade-off, both the sin...

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Bibliographic Details
Published in:Wuhan University journal of natural sciences 2003, Vol.8 (1), p.155-164
Main Authors: Yong, Liu, Xiu-fen, Zou
Format: Article
Language:English
Subjects:
Bias
Learning
Neural networks
Supervised learning
Tradeoffs
Citations: Items that this one cites
Online Access:Get full text
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Description
Summary:This paper introduces supervised learning model, and surveys related research work. The paper is organised as follows. A supervised learning model is firstly described. The bias-variance trade-off is then discussed for the supervised learning model. Based on the bias-variance trade-off, both the single neural network approaches and the neural network ensemble approaches are overviewed, and problems with the existing approaches are indicated. Finally, the paper concludes with specifying potential future research directions.
ISSN:1007-1202
1993-4998
DOI:10.1007/BF02899473