Contributions to machine learning: the unsupervised, the supervised, and the Bayesian

Balazs Kégl

Habilitation à diriger des recherches

Contributions to machine learning: the unsupervised, the supervised, and the Bayesian

Balazs Kégl ^{1, 2}

1 LRI - Laboratoire de Recherche en Informatique

2 LAL - Laboratoire de l'Accélérateur Linéaire

Résumé : No abstract

Keywords : Machine learning Supervised learning Unsupervised learning Boosting Monte-Carlo Markov chains Principal curves

Document type :

Habilitation à diriger des recherches

Domain :

Statistics [stat] / Machine Learning [stat.ML]

Computer Science [cs] / Data Structures and Algorithms [cs.DS]

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https://tel.archives-ouvertes.fr/tel-00674004
Contributor : Sabine Starita <>
Submitted on : Friday, February 24, 2012 - 4:28:45 PM
Last modification on : Friday, October 23, 2020 - 4:55:02 PM
Long-term archiving on: : Friday, November 23, 2012 - 2:45:48 PM

Contributions to machine learning: the unsupervised, the supervised, and the Bayesian

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Contributions to machine learning: the unsupervised, the supervised, and the Bayesian

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