Mario Marchand
Mario Marchand
professeur d'informatique, Université Laval
Verified email at ift.ulaval.ca
Title
Cited by
Cited by
Year
Domain-adversarial training of neural networks
Y Ganin, E Ustinova, H Ajakan, P Germain, H Larochelle, F Laviolette, ...
The Journal of Machine Learning Research 17 (1), 2096-2030, 2016
24662016
A convergence theorem for sequential learning in two-layer perceptrons
M Marchand, M Golea, P Ruján
EPL (Europhysics Letters) 11 (6), 487, 1990
1951990
Domain-adversarial neural networks
H Ajakan, P Germain, H Larochelle, F Laviolette, M Marchand
arXiv preprint arXiv:1412.4446, 2014
1912014
PAC-Bayesian learning of linear classifiers
P Germain, A Lacasse, F Laviolette, M Marchand
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
1672009
The set covering machine
M Marchand, J Shawe-Taylor
The Journal of Machine Learning Research 3, 723-746, 2002
1532002
PAC-Bayes bounds for the risk of the majority vote and the variance of the Gibbs classifier
A Lacasse, F Laviolette, M Marchand, P Germain, N Usunier
Advances in Neural information processing systems 19, 769-776, 2006
862006
Risk bounds for the majority vote: From a PAC-Bayesian analysis to a learning algorithm
P Germain, A Lacasse, F Laviolette, M Marchand, JF Roy
arXiv preprint arXiv:1503.08329, 2015
812015
A growth algorithm for neural network decision trees
M Golea, M Marchand
EPL (Europhysics Letters) 12 (3), 205, 1990
791990
Learning with decision lists of data-dependent features
M Marchand, M Sokolova
Journal of Machine Learning Research 6 (Apr), 427-451, 2005
632005
Feature selection with conjunctions of decision stumps and learning from microarray data
M Shah, M Marchand, J Corbeil
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (1), 174-186, 2011
592011
From PAC-Bayes bounds to quadratic programs for majority votes
JF Roy, F Laviolette, M Marchand
ICML, 2011
572011
Predictive computational phenotyping and biomarker discovery using reference-free genome comparisons
A Drouin, S Giguère, M Déraspe, M Marchand, M Tyers, VG Loo, ...
BMC genomics 17 (1), 1-15, 2016
552016
On learning simple neural concepts: from halfspace intersections to neural decision lists
M Marchand, M Golea
Network: Computation in Neural Systems 4 (1), 67-85, 1993
531993
Learning by minimizing resources in neural networks
M Marchand, P Rujan
Complex Systems 3, 229-241, 1989
511989
HIV-1 coreceptor usage prediction without multiple alignments: an application of string kernels
S Boisvert, M Marchand, F Laviolette, J Corbeil
Retrovirology 5 (1), 110, 2008
462008
Nonconvex interactions and the occurrence of modulated phases
M Marchand, K Hood, A Caillé
Physical review letters 58 (16), 1660, 1987
451987
Learning a peptide-protein binding affinity predictor with kernel ridge regression
S Giguere, M Marchand, F Laviolette, A Drouin, J Corbeil
BMC bioinformatics 14 (1), 82, 2013
422013
PAC-Bayes risk bounds for stochastic averages and majority votes of sample-compressed classifiers
F Laviolette, M Marchand
Journal of Machine Learning Research 8 (Jul), 1461-1487, 2007
422007
Asymmetrical Guided Magnetic Polaritons in a Ferromagnetic Slab
M Marchand, A Caillé
Solid State Communications 34, 827---831, 1980
411980
A geometric approach to learning in neural networks
P Rujan, M Marchand
Proceedings of the International Joint Conference on Nerual Networks II 105, 109, 1989
381989
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Articles 1–20