April 2014
Intermediate to advanced
334 pages
10h 40m
English
book
Conformal Prediction for Reliable Machine Learning
by Vineeth Balasubramanian, Shen-Shyang Ho, Vladimir Vovk
Content preview from Conformal Prediction for Reliable Machine Learning
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Chapter 13
Other Applications
Shen-Shyang Ho, School of Computer Engineering, Nanyang Technological University, Singapore
Abstract
In the previous three chapters, we see how the conformal prediction (CP) framework is adapted to handle real-world problems for face recognition, medical applications, and also network traffic/demand prediction. The theoretically proven validity property of conformal predictor makes it an extremely attractive prediction tool for many real-world prediction tasks for both the online and offline settings. Moreover, the ability of the conformal predictor to return prediction region (or interval) based on user-defined confidence level, instead of just returning a single point prediction, is an attractive capability that ...
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