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Learning with Rejection.

ALGORITHMIC LEARNING THEORY, (ALT 2016), (2016): 67-82

Cited by: 63|Views81
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Abstract

We introduce a novel framework for classification with a rejection option that consists of simultaneously learning two functions: a classifier along with a rejection function. We present a full theoretical analysis of this framework including new data-dependent learning bounds in terms of the Rademacher complexities of the classifier and ...More

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Giulia DeSalvo
Giulia DeSalvo
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