no code implementations • 28 May 2019 • Emmanuel Noutahi, Dominique Beaini, Julien Horwood, Sébastien Giguère, Prudencio Tossou
We benchmark LaPool on molecular graph prediction and understanding tasks and show that it outperforms recent GNNs.
no code implementations • 22 May 2015 • Alexandre Drouin, Sébastien Giguère, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil
The Set Covering Machine (SCM) is a greedy learning algorithm that produces sparse classifiers.
no code implementations • 3 Dec 2014 • Sébastien Giguère, Amélie Rolland, François Laviolette, Mario Marchand
This work uses a recent result on combinatorial optimization of linear predictors based on string kernels to develop, for the pre-image, a low complexity upper bound valid for many string kernels.
no code implementations • 2 Dec 2014 • Alexandre Drouin, Sébastien Giguère, Vladana Sagatovich, Maxime Déraspe, François Laviolette, Mario Marchand, Jacques Corbeil
The increased affordability of whole genome sequencing has motivated its use for phenotypic studies.