30 citations · 125 across the 26 of their papers we have counts for
Showing 2014 · stat.MLShow all
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stat.ML2014
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling
Emilie Morvant
In machine learning, the domain adaptation problem arrives when the test (target) and the train (source) data are generated from different distributions. A key applied issue is thu…
stat.ML2014
On the Generalization of the C-Bound to Structured Output Ensemble Methods
François Laviolette, Emilie Morvant, Liva Ralaivola +1
This paper generalizes an important result from the PAC-Bayesian literature for binary classification to the case of ensemble methods for structured outputs. We prove a generic ver…
stat.ML2014★ 2 cited
Majority Vote of Diverse Classifiers for Late Fusion
Emilie Morvant, Amaury Habrard, Stéphane Ayache
In the past few years, a lot of attention has been devoted to multimedia indexing by fusing multimodal informations. Two kinds of fusion schemes are generally considered: The early…