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Learning by Conformal Predictors with Additional Information

Abstract : In many supervised learning applications, the existence of additional information in training data is very common. Recently, Vapnik introduced a new method called LUPI which provides a learning paradigm under privileged (or additional) information. It describes the SVM+ technique to process this information in batch mode. Following this method, we apply the approach to deal with additional information by conformal predictors. An application to a medical diagnostic problem is considered and the results are reported.
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Meng Yang, Ilia Nouretdinov, Zhiyuan Luo. Learning by Conformal Predictors with Additional Information. 9th Artificial Intelligence Applications and Innovations (AIAI), Sep 2013, Paphos, Greece. pp.394-400, ⟨10.1007/978-3-642-41142-7_40⟩. ⟨hal-01459634⟩



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