most citedBeyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.LG2018★ 3 cited

Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data

Jessa Bekker, Pieter Robberechts, Jesse Davis

Most positive and unlabeled data is subject to selection biases. The labeled examples can, for example, be selected from the positive set because they are easier to obtain or more…