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Sample dispersion is better than sample discrepancy for classification
We want to generate learning data within the context of active learning. First, we recall theoretical results proposing discrepancy as a criterion for generating... -
Database analysis for computer code calibration
This thesis takes place in the general context of the calibration for industrial application. It aims at evaluating the quality of a data base by checking that the... -
Numerical studies of space filling designs: optimization of Latin Hypercube S...
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Self-reporting and measurement of body mass index in adolescents: refusals an...
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The dynamical point of view of low-discrepancy sequences
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Constantes d'Erdös-Turán
The Erdös-Turán inequality measures the distance from uniform distribution of any given sequence on the torus as a function of an arbitrary parameter and two... -
Active learning for variety approximation
Statistical learning aims to modelize a functional link between two variables X and Y thanks to a random sample of realizations of the couple (X,Y ). When the variable... -
Climbing discrepancy search for flowshop and jobshop scheduling with time-lags
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Colorectal cancer in patients seen at the teaching hospitals of Guadeloupe an...
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Basic Structure of Passive Layers of Cu-Sn Alloys Applied to Patinas of Archa...
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