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    Electronic Resource
    Electronic Resource
    Virtual sample generation using a population of networks (1997)
    Springer
    Neural processing letters 5 (1997), S. 21-27 
    Details
    ISSN: 1573-773X
    Keywords: committee network ; decision-directed ; generalization ; regression ; virtual sample
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract Multilayer perceptrons have been shown to approximate any continuous functions with a desired precision. With insufficient training samples, however, the network can not learn the function properly and popular model selection methods such as cross validation can not be used. We propose a scheme to generate virtual samples using a population of networks. They are applied to regression problems and are shown to improve generalization and to solve the model selection problem at the same time.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1009653706403
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