Classifier Risk Estimation under Limited Labeling Resources

9 Jul 2016Anurag KumarBhiksha Raj

In this paper we propose strategies for estimating performance of a classifier when labels cannot be obtained for the whole test set. The number of test instances which can be labeled is very small compared to the whole test data size... (read more)

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