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stat.ML2021
Harmless label noise and informative soft-labels in supervised classification
Daniel Ahfock, Geoffrey J. McLachlan
Manual labelling of training examples is common practice in supervised learning. When the labelling task is of non-trivial difficulty, the supplied labels may not be equal to the g…
stat.ML2021
Semi-Supervised Learning of Classifiers from a Statistical Perspective: A Brief Review
Daniel Ahfock, Geoffrey J. McLachlan
There has been increasing attention to semi-supervised learning (SSL) approaches in machine learning to forming a classifier in situations where the training data for a classifier…
stat.ML2020
Estimation of Classification Rules from Partially Classified Data
Geoffrey J. McLachlan, Daniel Ahfock
We consider the situation where the observed sample contains some observations whose class of origin is known (that is, they are classified with respect to the g underlying classes…