3 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
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…