148 citations · 149 across the 2 of their papers we have counts for
3 papers
Risk bounds for PU learning under Selected At Random assumption
Olivier Coudray, Christine Keribin, Pascal Massart +1
Positive-unlabeled learning (PU learning) is known as a special case of semi-supervised binary classification where only a fraction of positive examples are labeled. The challenge…
Consistency and Asymptotic Normality of Latent Block Model Estimators
Vincent Brault, Christine Keribin, Mahendra Mariadassou
The Latent Block Model (LBM) is a model-based method to cluster simultaneously the columns and rows of a data matrix. Parameter estimation in LBM is a difficult and multifa…
A supervised clustering approach for fMRI-based inference of brain states
Vincent Michel, Alexandre Gramfort, Gaël Varoquaux +3
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior during a scanning sessi…