eBook, ePUB

Conformal Prediction for Reliable Machine Learning (eBook, ePUB)

Theory, Adaptations and Applications

Redaktion: Balasubramanian, Vineeth; Vovk, Vladimir; Ho, Shen-Shyang
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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, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detecti...

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