Glenn Matlin
Glenn Matlin
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UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification
We argue that it is possible to “unfold” a monolithic single multi-class classifier, typically trained for all stages using all data, into a series of single-stage classifiers. Each single- stage classifier can be cascaded gradually from cheaper to more expensive binary classifiers that are trained using only the necessary data modalities or features required for that stage.
Yanbo Xu
,
Alind Khare
,
Glenn Matlin
,
Monish Ramadoss
,
Chao Zhang
,
Alexey Tumanov
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