8 citations · 8 across the 3 of their papers we have counts for
4 papers
From Log-Odds to Shapley Values: An Explanatory Geometry for the Weighted Naive Bayes Classifier
Vincent Lemaire, Fabrice Clérot
This paper studies the construction of an explanatory space for a weighted naive Bayes classifier from the supervised representation induced by the model. We start from the classic…
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…
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…
Open challenges for Machine Learning based Early Decision-Making research
Alexis Bondu, Youssef Achenchabe, Albert Bifet +6
More and more applications require early decisions, i.e. taken as soon as possible from partially observed data. However, the later a decision is made, the more its accuracy tends…