A. Steland

Context-Adaptive Thresholding for Conditionally Representative Monitoring and Classification

Commonly, classifiers and monitoring procedures are trained from labeled data by optimizing an objective such as the misclassification rate. This may lead to unrepresentative conditional distributions of the outcome (the labels) given important external variables, different from the conditional laws in the population....