9 citations · 9 across the 8 of their papers we have counts for
Showing stat.COShow all
2 papers · 1 filter
stat.CO2026
Favourable Missingness in Semi-Supervised Classification for Exponential Mixture Models
Huanchao Zhou, Jinran Wu, Fariborz Setoudehtazang +1
Semi-supervised classifiers are commonly trained from samples in which all features are observed but some class labels are missing. When label missingness is independent of the obs…
stat.CO2025
SSLfmm: An R Package for Semi-Supervised Learning with Mixed Missingness
Geoffrey J. McLachlan, Jinran Wu
Partially labelled samples arise when features are observed for data, but class labels are available for only a subset. In such settings, the mechanism governing label availability…