Recent developments in discriminant analysis from an information geometric point of view
Shinto Eguchi · 2001
This paper concerns the problem of classification based on training data. 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.