Learning by Conformal Predictors with Additional Information - Artificial Intelligence Applications and Innovations Access content directly
Conference Papers Year : 2013

Learning by Conformal Predictors with Additional Information

Meng Yang
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  • PersonId : 1000634
Ilia Nouretdinov
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  • PersonId : 992376
Zhiyuan Luo
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  • PersonId : 1000635

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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hal-01459634 , version 1 (07-02-2017)

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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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