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Theses

Sur quelques problèmes d'apprentissage supervisé et non supervisé

Abstract : The goal of this thesis is to contribute to the domain of statistical learning, and includes the development of methods that can deal with functional data. In the first section, we develop a Nearest Neighbor approach for functional regression. In the second, we study the properties of a quantization method in infinitely-dimensional spaces. We then apply this approach to a behavioral study of schools of anchovies. The last section is dedicated to the problem of estimating level sets of the regression function in a multivariate context.
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https://tel.archives-ouvertes.fr/tel-00455528
Contributor : Thomas Laloe <>
Submitted on : Wednesday, February 10, 2010 - 3:48:57 PM
Last modification on : Tuesday, October 10, 2017 - 4:16:26 PM
Long-term archiving on: : Friday, June 18, 2010 - 5:50:29 PM

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Thomas Laloë. Sur quelques problèmes d'apprentissage supervisé et non supervisé. Mathématiques [math]. Université Montpellier II - Sciences et Techniques du Languedoc, 2009. Français. ⟨tel-00455528⟩

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