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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.

Keywords

Probabilistic Form Prediction Region Standard Credibility Probabilistic Input Incomplete Sequence 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP International Federation for Information Processing 2014

Authors and Affiliations

  • Ilia Nouretdinov
    • 1
  1. 1.Computer Learning Research CentreRoyal Holloway University of LondonUK

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