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.
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Nouretdinov, I. (2014). Conformal Prediction under Probabilistic Input. In: Iliadis, L., Maglogiannis, I., Papadopoulos, H., Sioutas, S., Makris, C. (eds) Artificial Intelligence Applications and Innovations. AIAI 2014. IFIP Advances in Information and Communication Technology, vol 437. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44722-2_31
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DOI: https://doi.org/10.1007/978-3-662-44722-2_31
Publisher Name: Springer, Berlin, Heidelberg
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