From Conformal to Probabilistic Prediction

Vladimir Vovk; Ivan Petej; Valentina Fedorova

doi:10.1007/978-3-662-44722-2_24

Conference Papers Year : 2014

From Conformal to Probabilistic Prediction

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Vladimir Vovk

Function : Author
PersonId : 992364

RHUL - Royal Holloway [University of London]

Ivan Petej

Function : Author
PersonId : 992365

RHUL - Royal Holloway [University of London]

Valentina Fedorova

Function : Author
PersonId : 992366

RHUL - Royal Holloway [University of London]

Abstract

This paper proposes a new method of probabilistic prediction, which is based on conformal prediction. The method is applied to the standard USPS data set and gives encouraging results.

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Computer Science [cs]

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hal-01391049 , version 1 (02-11-2016)

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CC BY 4.0 - Attribution

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HAL Id : hal-01391049 , version 1
DOI : 10.1007/978-3-662-44722-2_24

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Vladimir Vovk, Ivan Petej, Valentina Fedorova. From Conformal to Probabilistic Prediction. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. pp.221-230, ⟨10.1007/978-3-662-44722-2_24⟩. ⟨hal-01391049⟩

From Conformal to Probabilistic Prediction

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