Optimal Computing Budget Allocation for Binary Classification with Noisy Labels and its Applications on Simulation Analytics

Weizhi Liu
Weizhi Liu
Haobin Li
Haobin Li
Hui Xiao
Hui Xiao

WSC, pp. 3587-3596, 2019.

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Abstract:

In this study, we consider the budget allocation problem for binary classification with noisy labels. The classification accuracy can be improved by reducing the label noises which can be achieved by observing multiple independent observations of the labels. Hence, an efficient budget allocation strategy is needed to reduce the label nois...More

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