Conformal Prediction under Probabilistic Input
Abstract
In this paper we discuss a possible approach to confident prediction from data containing missing values presented in a probabilistic form. To achieve this we revise and generalize the notion of credibility known in the theory of conformal prediction.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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