This paper presents a learning approach, i.e. negative correlation learning, for neural network ensembles. Unlike previous learning approaches for neural network ensembles, negative correlation learning attempts to train individual networks in an ensemble and combines them in the same learning proce
โฆ LIBER โฆ
Analysis of negative correlation learning
โ Scribed by Liu Yong; Zou Xiu-fen
- Publisher
- Wuhan University
- Year
- 2003
- Tongue
- English
- Weight
- 982 KB
- Volume
- 8
- Category
- Article
- ISSN
- 1007-1202
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The method of generalized estimating equations has become almost standard for analysing longitudinal and other correlated response data. However, we have found that if binary responses have less than binomial variation over clusters, and are modelled using exchangeable correlations, prevailing softw