Vineeth N. Balasubramaniana, Prasanth Ladeb, Hemanth Venkateswarab, Evgueni Smirnovc and Sethuraman Panchanathanb, aDepartment of Computer Science and Engineering, Indian Institute of Technology, Hyderabad, India, bCenter for Cognitive Ubiquitous Computing, Arizona State University, AZ, USA, cDepartment of Knowledge Engineering, Maastricht University, Maastricht, The Netherlands
The previous chapters demonstrated how the Conformal Predictions (CP) framework can be adapted to traditional machine learning problems including active learning, feature selection, anomaly detection, change detection, model selection, and quality estimation. In this chapter, we describe three other adaptations of the CP framework, ...
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