From conformal to probabilistic prediction
Vladimir Vovk, Ivan Petej, and Valentina Fedorova

TL;DR
This paper introduces a novel probabilistic prediction method derived from conformal prediction principles, demonstrating promising results on the USPS dataset.
Contribution
It presents a new probabilistic prediction approach based on conformal prediction, extending existing methods with practical application.
Findings
Effective probabilistic predictions on USPS data
Encouraging empirical results
Potential for broader application
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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Taxonomy
TopicsFace and Expression Recognition · Rough Sets and Fuzzy Logic · Advanced Clustering Algorithms Research
