Search Results for author: Rodolphe Thiébaut

Found 4 papers, 2 papers with code

EpidemiOptim: A Toolbox for the Optimization of Control Policies in Epidemiological Models

2 code implementations9 Oct 2020 Cédric Colas, Boris Hejblum, Sébastien Rouillon, Rodolphe Thiébaut, Pierre-Yves Oudeyer, Clément Moulin-Frier, Mélanie Prague

Epidemiologists model the dynamics of epidemics in order to propose control strategies based on pharmaceutical and non-pharmaceutical interventions (contact limitation, lock down, vaccination, etc).

Epidemiology Evolutionary Algorithms +5

Fréchet random forests for metric space valued regression with non euclidean predictors

no code implementations4 Jun 2019 Louis Capitaine, Jérémie Bigot, Rodolphe Thiébaut, Robin Genuer

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 variables and also its capacity to handle high-dimensional data.


Supervised Learning for Multi-Block Incomplete Data

no code implementations14 Jan 2019 Hadrien Lorenzo, Jérôme Saracco, Rodolphe Thiébaut

In the supervised high dimensional settings with a large number of variables and a low number of individuals, one objective is to select the relevant variables and thus to reduce the dimension.

Imputation Variable Selection

Sequential Dirichlet Process Mixtures of Multivariate Skew t-distributions for Model-based Clustering of Flow Cytometry Data

2 code implementations14 Feb 2017 Boris P. Hejblum, Chariff Alkhassim, Raphael Gottardo, François Caron, Rodolphe Thiébaut

DPM models directly estimate the number of cell populations from the data, avoiding model selection issues, and skew $t$-distributions provides robustness to outliers and non-elliptical shape of cell populations.

Clustering Model Selection

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