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Inductive Conformal Martingales for Change-Point Detection
We consider the problem of quickest change-point detection in data streams.
Conformal Predictors for Compound Activity Prediction
The paper presents an application of Conformal Predictors to a chemoinformatics problem of identifying activities of chemical compounds.
Hedging predictions in machine learning
Recent advances in machine learning make it possible to design efficient prediction algorithms for data sets with huge numbers of parameters.
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