[PDF.60jf] Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications

Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications

[PDF.ng00] Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications

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 | #1031881 in Books |  2014-05-13 |  2014-04-29 | Original language:English | PDF # 1 |  9.25 x.73 x7.50l,1.47 | File type: PDF | 334 pages

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|| ||"...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 detection."--Zentralblatt MATH, Sep-14 |"...the book

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...

You can specify the type of files you want, for your device.Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications   |  From Morgan Kaufmann. A good, fresh read, highly recommended.

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