96 citations · 108 across the 3 of their papers we have counts for
3 papers
cs.LG2016★ 2 cited
F-measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets
Maxime Gasse, Alex Aussem
We discuss a method to improve the exact F-measure maximization algorithm called GFM, proposed in (Dembczynski et al. 2011) for multi-label classification, assuming the label set c…
stat.ML2015★ 96 cited
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…
stat.ML2015★ 10 cited
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…