3 citations · 4 across the 4 of their papers we have counts for
6 papers
Data-fusion using factor analysis and low-rank matrix completion
Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan
Data-fusion involves the integration of multiple related datasets. The statistical file-matching problem is a canonical data-fusion problem in multivariate analysis, where the obje…
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…
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…
An Apparent Paradox: A Classifier Trained from a Partially Classified Sample May Have Smaller Expected Error Rate Than That If the Sample Were Completely Classified
Daniel Ahfock, Geoffrey J. McLachlan
There has been increasing interest in using semi-supervised learning to form a classifier. As is well known, the (Fisher) information in an unclassified feature with unknown class…
On missing label patterns in semi-supervised learning
Daniel Ahfock, Geoffrey J. McLachlan
We investigate model based classification with partially labelled training data. In many biostatistical applications, labels are manually assigned by experts, who may leave some ob…
Statistical matching of non-Gaussian data
Daniel Ahfock, Saumyadipta Pyne, Geoffrey J. McLachlan
The statistical matching problem is a data integration problem with structured missing data. The general form involves the analysis of multiple datasets that only have a strict sub…