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stat.ML2019
Fréchet random forests for metric space valued regression with non euclidean predictors
Louis Capitaine, Jérémie Bigot, Rodolphe Thiébaut +1
Random forests are a statistical learning method widely used in many areas of scientific research because of its ability to learn complex relationships between input and output var…
stat.ML2017★ 6 cited
Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data
Boris P. Hejblum, Chariff Alkhassim, Raphael Gottardo +2
Flow cytometry is a high-throughput technology used to quantify multiple surface and intracellular markers at the level of a single cell. This enables to identify cell sub-types, a…