3 citations · 3 across the 5 of their papers we have counts for
5 papers
Khiops: An End-to-End, Frugal AutoML and XAI Machine Learning Solution for Large, Multi-Table Databases
Marc Boullé, Nicolas Voisine, Bruno Guerraz +10
Khiops is an open source machine learning tool designed for mining large multi-table databases. Khiops is based on a unique Bayesian approach that has attracted academic interest w…
Fractional Naive Bayes (FNB): non-convex optimization for a parsimonious weighted selective naive Bayes classifier
Carine Hue, Marc Boullé
We study supervised classification for datasets with a very large number of input variables. The naïve Bayes classifier is attractive for its simplicity, scalability and effectiven…
An Efficient Shapley Value Computation for the Naive Bayes Classifier
Vincent Lemaire, Fabrice Clérot, Marc Boullé
Variable selection or importance measurement of input variables to a machine learning model has become the focus of much research. It is no longer enough to have a good model, one…
Two-level histograms for dealing with outliers and heavy tail distributions
Marc Boullé
Histograms are among the most popular methods used in exploratory analysis to summarize univariate distributions. In particular, irregular histograms are good non-parametric densit…
Interpretable Feature Construction for Time Series Extrinsic Regression
Dominique Gay, Alexis Bondu, Vincent Lemaire +1
Supervised learning of time series data has been extensively studied for the case of a categorical target variable. In some application domains, e.g., energy, environment and healt…