accepted paper

Two papers accepted at CAp'13 (French Conference on ML)

Our papers have been accepted at the French Conference on Machine Learning (CAp 2013) :

  • Vote de majorité a priori contraint pour la classification binaire : spécification au cas des plus proches voisins (with A. Bellet, A Habrard and M. Sebban) ;
  • Une analyse pac-bayésienne de l’adaptation de domaine et sa spécialisation aux classifieurs linéaires (with P. Germain, A. Habrard and F. Laviolette).

A Paper Accepter at ICML 2013

Our paper A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers (with P. Germain, A. Habrard and F. Laviolette) has been accepted at the International Conference on Machine Learning.

Accepted paper at ICML 2012

Our paper PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification (with S. Koço and L. Ralaivola) has been accepted at the International Conference on Machine Learning.

Accepted Journal Paper in Knowledge and Information Systems

Our paper Parsimonious Unsupervised and Semi-Supervised Domain Adaptation with Good Similarity Functions (with A. Habrard and S. Ayache) has been accepted as Regular Paper in Journal of Knowledge and Information Systems (KAIS).

Accepted Paper at CAp 2012 (Conférence Francophone d'Apprentissage)

Our paper Étude de la généralisation de DASF à l'adaptation de domaine semi-supervisée (with A. Habrard and S. Ayache) has been accepted as Regular Paper at the French conference in Machine Learning (CAp'12).

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