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Recent Developments in Discriminant Analysis fro man Information Geometric Point of View
Eguchi, Shinto,Copas, John B. The Korean Statistical Society 2001 Journal of the Korean Statistical Society Vol.30 No.2
This paper concerns a problem of classification based on training dta. A framework of information geometry is given to elucidate the characteristics of discriminant functions including logistic discrimination and AdaBoost. We discuss a class of loss functions from a unified viewpoint.