1 citations · 1 across the 3 of their papers we have counts for
3 papers
Hidden Markov Models with mixtures as emission distributions
Stevenn Volant, Caroline Bérard, Marie-Laure Martin-Magniette +1
In unsupervised classification, Hidden Markov Models (HMM) are used to account for a neighborhood structure between observations. The emission distributions are often supposed to b…
Variational Bayes approach for model aggregation in unsupervised classification with Markovian dependency
Stevenn Volant, Marie-Laure Martin Magniette, Stéphane Robin
We consider a binary unsupervised classification problem where each observation is associated with an unobserved label that we want to retrieve. More precisely, we assume that ther…
Clustering based on Random Graph Model embedding Vertex Features
Hugo Zanghi, Stevenn Volant, Christophe Ambroise
Large datasets with interactions between objects are common to numerous scientific fields (i.e. social science, internet, biology...). The interactions naturally define a graph and…