4 citations · 13 across the 8 of their papers we have counts for
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cs.LG2019★ 1 cited
Attribute noise robust binary classification
Aditya Petety, Sandhya Tripathi, N Hemachandra
We consider the problem of learning linear classifiers when both features and labels are binary. In addition, the features are noisy, i.e., they could be flipped with an unknown pr…
cs.LG2019★ 2 cited
Cost Sensitive Learning in the Presence of Symmetric Label Noise
Sandhya Tripathi, N. Hemachandra
In binary classification framework, we are interested in making cost sensitive label predictions in the presence of uniform/symmetric label noise. We first observe that - Bay…