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Improving Positive Unlabeled Learning Algorithms for Protein Interaction Prediction
(SPRINGER-Verlag Berlin, 2014)
In binary classification, it is sometimes difficult to label two training samples as negative. The aforementioned difficulty in obtaining true negative samples created a need for learning algorithms which does not use ...