96 citations · 106 across the 5 of their papers we have counts for
5 papers
Multi-View Majority Vote Learning Algorithms: Direct Minimization of PAC-Bayesian Bounds
Mehdi Hennequin, Abdelkrim Zitouni, Khalid Benabdeslem +2
The PAC-Bayesian framework has significantly advanced the understanding of statistical learning, particularly for majority voting methods. Despite its successes, its application to…
PAC-Bayesian Domain Adaptation Bounds for Multi-view learning
Mehdi Hennequin, Khalid Benabdeslem, Haytham Elghazel
This paper presents a series of new results for domain adaptation in the multi-view learning setting. The incorporation of multiple views in the domain adaptation was paid little a…
Autoencoder-based Attribute Noise Handling Method for Medical Data
Thomas Ranvier, Haytham Elgazel, Emmanuel Coquery +1
Medical datasets are particularly subject to attribute noise, that is, missing and erroneous values. Attribute noise is known to be largely detrimental to learning performances. To…
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning
Maxime Gasse, Alex Aussem, Haytham Elghazel
We present a novel hybrid algorithm for Bayesian network structure learning, called H2PC. It first reconstructs the skeleton of a Bayesian network and then performs a Bayesian-scor…
An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning
Maxime Gasse, Alex Aussem, Haytham Elghazel
We present a novel hybrid algorithm for Bayesian network structure learning, called Hybrid HPC (H2PC). It first reconstructs the skeleton of a Bayesian network and then performs a…