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Multi-class classification methods based on both labeled and unlabeled functional data sets are discussed. We present semi-supervised logistic models for classification in the context of functional da...
Sport sciences researchers talk about a relative age effect when they observe a biased distribution of elite athletes’ birthdates, with an over-representation of those born at the beginning of the c...
We consider the problem of constructing a nonlinear discriminant procedure, using a regularized local likelihood method. The local likelihood method is effective for analyzing data with complex struct...
In microarray experiments, the dimension p of the data is very large but there are only a few observations N on the subjects/patients. In this article, the problem of classifying a subject into one of...
Standard maximum margin structured prediction methods lack a straightforward probabilistic interpretation of the learning scheme and the prediction rule. Therefore its unique advantages such as dual...

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