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.
https://hal.inria.fr/hal-01459634 Contributor : Hal IfipConnect 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