15 citations · 21 across the 7 of their papers we have counts for
3 papers · 1 filter
Anomaly and Novelty detection for robust semi-supervised learning
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
Three important issues are often encountered in Supervised and Semi-Supervised Classification: class-memberships are unreliable for some training units (label noise), a proportion…
Bivariate Gamma Mixture of Experts Models for Joint Insurance Claims Modeling
Sen Hu, T Brendan Murphy, Adrian O'Hagan
In general insurance, risks from different categories are often modeled independently and their sum is regarded as the total risk the insurer takes on in exchange for a premium. Th…
A robust approach to model-based classification based on trimming and constraints
Andrea Cappozzo, Francesca Greselin, Thomas Brendan Murphy
In a standard classification framework a set of trustworthy learning data are employed to build a decision rule, with the final aim of classifying unlabelled units belonging to the…