Adaptive Sampling for Positive Unlabeled and Label Noise Learning
Implementation of AdaSampling for positive unlabelled and label noise ...
Benchmarking AdaSampling efficacy on noisy labelled data.
singleIter() applies a single iteraction of AdaSampling procedure. I...
Implementation of a feature weighted k-nearest neighbour classifier.
Implements the adaptive sampling procedure, a framework for both positive unlabeled learning and learning with class label noise. Yang, P., Ormerod, J., Liu, W., Ma, C., Zomaya, A., Yang, J. (2018) <doi:10.1109/TCYB.2018.2816984>.
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