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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.
Cited literature [11 references]
https://hal.inria.fr/hal-01459634
Contributor : Hal Ifip <>
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
Contributor : Hal Ifip <>
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
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