Apprentissage semi-supervisé par réduction de dimensionnalité non linéaire
dc.contributor.advisor | Kegl, Balazs | |
dc.contributor.author | Payette, François | |
dc.date.accessioned | 2017-03-15T01:20:10Z | |
dc.date.available | 2017-03-15T01:20:10Z | |
dc.date.issued | 2005 | |
dc.date.submitted | 2004 | |
dc.identifier.uri | http://hdl.handle.net/1866/16641 | |
dc.subject | Statistiques | |
dc.subject | Apprentissage statistique | |
dc.subject | Algorithmes | |
dc.subject | Réduction de dimensionnalité non linéaire | |
dc.subject | Classification | |
dc.subject | Apprentissage semi-supervisé | |
dc.subject | Appretissage non supervisé | |
dc.subject | Variété non linéaire | |
dc.subject | Échelonnement multidimensionnel | |
dc.subject | Noyaux | |
dc.subject | Isomap | |
dc.subject | LLE | |
dc.subject | Forage de données | |
dc.subject | Méthodes itératives | |
dc.title | Apprentissage semi-supervisé par réduction de dimensionnalité non linéaire | |
dc.type | Thèse ou mémoire / Thesis or Dissertation | |
etd.degree.discipline | Informatique | fr |
etd.degree.grantor | Université de Montréal | fr |
etd.degree.level | Maîtrise / Master's | |
etd.degree.name | M. Sc. | |
dcterms.description | Mémoire numérisé par la Direction des bibliothèques de l'Université de Montréal. | fr |
dcterms.language | fra |
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