Regularization methods for prediction in dynamic graphs and e-marketing applications

Regularization methods for prediction in dynamic graphs and e-marketing applications

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La prédiction de connexions entre objets, basée soit sur une observation bruitée, soit sur une suite d'observations est un problème d'intérêt pour un nombre d'applications allant de la conception de système de recommandation en commerce électronique et réseaux sociaux jusqu'à l&#...

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Bibliographic Details
Main Author:	Richard, Émile
Other Authors:	Cachan, Ecole normale supérieure
Language:	en
Published:	2012
Subjects:	Apprentissage statistique Prédiction de lien Méthodes régularisées Machine learning Link prediction Regularization methods
Online Access:	http://www.theses.fr/2012DENS0064/document

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