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  • CONFORMAL PREDICTION FOR RELIABLE MACHINE LEARNING: THEORY, ADAPTATIONS AND APPLICATIONS
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    CONFORMAL PREDICTION FOR RELIABLE MACHINE LEARNING: THEORY, ADAPTATIONS AND APPLICATIONS
    BALASUBRAMANIAN, VINEETH / HO, SHEN-SHYANG / VOVK, VLADIMIR
    The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adap...

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