HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download

Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Tuesday, February 7, 2017 - 1:05:50 PM
Last modification on : Thursday, March 5, 2020 - 5:41:28 PM
Long-term archiving on: : Monday, May 8, 2017 - 2:03:01 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



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⟩



Record views


Files downloads