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  • Vladimir Vovk; Alexander Gammerman; Glenn Shafer
    978-3-031-06649-8
    2022
    Edition 2
    • Presents conformal prediction, which is a valuable new method for practitioners of machine learning and statistics
    • Covers probabilistic predictors, which when combined with suitable loss functions facilitate practical decision-making
    • The prediction algorithms described produce valid measures of reliability, where the only assumption used is randomness

    €320

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