2 papers
cs.LG2026
Sampling-guided exploration of active feature selection policies
Gabriel Bernardino, Anders Jonsson, Patrick Clarysse +1
Determining the most appropriate features for machine learning predictive models is challenging regarding performance and feature acquisition costs. In particular, global feature c…
cs.CV2025
Copula-based mixture model identification for subgroup clustering with imaging applications
Fei Zheng, Nicolas Duchateau
Model-based clustering techniques have been widely applied to various application areas, while most studies focus on canonical mixtures with unique component distribution form. How…