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In many applications, it is desirable to build a classifier that is bounded within an interval. Our motivating example is rooted in monitoring in a stamping process. A novel approach is proposed and examined in this paper. Our method consists of three stages: (1) A baseline of each class is estimated via convex optimization; (2) An “optimal interval” that maximizes the difference among the baselines...
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