1.1k citations · 1.2k across the 7 of their papers we have counts for
7 papers
Agent-Based modeling in Medical Research. Example in Health Economics
Philippe Saint-Pierre, Romain Demeulemeester, Nadège Costa +1
This chapter presents the main lines of agent based modeling in the field of medical research. The general diagram consists of a cohort of patients (virtual or real) whose evolutio…
Selectivity correction with online machine learning
Max Halford, Philippe Saint-Pierre, Franck Morvan
Computer systems are full of heuristic rules which drive the decisions they make. These rules of thumb are designed to work well on average, but ignore specific information about t…
Selectivity Estimation with Attribute Value Dependencies using Linked Bayesian Networks
Max Halford, Philippe Saint-Pierre, Franck Morvan
Relational query optimisers rely on cost models to choose between different query execution plans. Selectivity estimates are known to be a crucial input to the cost model. In pract…
An Approach Based on Bayesian Networks for Query Selectivity Estimation
Max Halford, Philippe Saint-Pierre, Frank Morvan
The efficiency of a query execution plan depends on the accuracy of the selectivity estimates given to the query optimiser by the cost model. The cost model makes simplifying assum…
Detecting and modeling worst-case dependence structures between random inputs of computational reliability models
Nazih Benoumechiara, Bertrand Michel, Philippe Saint-Pierre +1
Uncertain information on input parameters of reliability models is usually modeled by considering these parameters as random, and described by marginal distributions and a dependen…
Grouped variable importance with random forests and application to multiple functional data analysis
Baptiste Gregorutti, Bertrand Michel, Philippe Saint-Pierre
The selection of grouped variables using the random forest algorithm is considered. First a new importance measure adapted for groups of variables is proposed. Theoretical insights…
Correlation and variable importance in random forests
Baptiste Gregorutti, Bertrand Michel, Philippe Saint-Pierre
This paper is about variable selection with the random forests algorithm in presence of correlated predictors. In high-dimensional regression or classification frameworks, variable…