-
Learning Majority Vote for Supervised Classification and Domain Adaptation: P...
Nowadays, due to the expansion of the web a plenty of data are available and many applications need to make use of supervised machine learning methods able to take... -
Domain Adaptation of Majority Votes via Perturbed Variation-based Label Transfer
We tackle the PAC-Bayesian Domain Adaptation (DA) problem. This arrives when one desires to learn, from a source distribution, a good weighted majority vote (over a... -
Aggregation of estimators and classifiers : theory and methods
This thesis is devoted to the study of both theoretical and practical properties of various aggregation techniques. We first extend the PAC-Bayesian theory to the high...
