1 citations · 2 across the 3 of their papers we have counts for
4 papers
Consistent Regression using Data-Dependent Coverings
Vincent Margot, Jean-Patrick Baudry, Frédéric Guilloux +1
In this paper, we introduce a novel method to generate interpretable regression function estimators. The idea is based on called data-dependent coverings. The aim is to extract fro…
Rule Induction Partitioning Estimator
Vincent Margot, Jean-Patrick Baudry, Frederic Guilloux +1
RIPE is a novel deterministic and easily understandable prediction algorithm developed for continuous and discrete ordered data. It infers a model, from a sample, to predict and to…
Enhancing the selection of a model-based clustering with external qualitative variables
Jean-Patrick Baudry, Margarida Cardoso, Gilles Celeux +2
In cluster analysis, it can be useful to interpret the partition built from the data in the light of external categorical variables which were not directly involved to cluster the…
Estimation and Model Selection for Model-Based Clustering with the Conditional Classification Likelihood
Jean-Patrick Baudry
The Integrated Completed Likelihood (ICL) criterion has been proposed by Biernacki et al. (2000) in the model-based clustering framework to select a relevant number of classes and…