1 citations · 1 across the 2 of their papers we have counts for
5 papers
Simultaneous semi-parametric estimation of clustering and regression
Matthieu Marbac, Mohammed Sedki, Christophe Biernacki +1
We investigate the parameter estimation of regression models with fixed group effects, when the group variable is missing while group related variables are available. This problem…
An end-to-end data-driven optimisation framework for constrained trajectories
Florent Dewez, Benjamin Guedj, Arthur Talpaert +1
Many real-world problems require to optimise trajectories under constraints. Classical approaches are based on optimal control methods but require an exact knowledge of the underly…
From industry-wide parameters to aircraft-centric on-flight inference: improving aeronautics performance prediction with machine learning
Florent Dewez, Benjamin Guedj, Vincent Vandewalle
Aircraft performance models play a key role in airline operations, especially in planning a fuel-efficient flight. In practice, manufacturers provide guidelines which are slightly…
Feature quantization for parsimonious and interpretable predictive models
Adrien Ehrhardt, Christophe Biernacki, Vincent Vandewalle +1
For regulatory and interpretability reasons, logistic regression is still widely used. To improve prediction accuracy and interpretability, a preprocessing step quantizing both con…
A tractable Multi-Partitions Clustering
Matthieu Marbac, Vincent Vandewalle
In the framework of model-based clustering, a model allowing several latent class variables is proposed. This model assumes that the distribution of the observed data can be factor…