Mario Marchand

	2009
22		Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand: PAC-Bayesian learning of linear classifiers. ICML 2009: 45
	2008
21		François Laviolette, Mario Marchand, Sara Shanian: Selective Sampling for Classification. Canadian Conference on AI 2008: 191-202
	2006
20		Luc Lamontagne, Mario Marchand: Advances in Artificial Intelligence, 19th Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2006, Québec City, Québec, Canada, June 7-9, 2006, Proceedings Springer 2006
19		Pascal Germain, Alexandre Lacasse, François Laviolette, Mario Marchand: A PAC-Bayes Risk Bound for General Loss Functions. NIPS 2006: 449-456
18		Alexandre Lacasse, François Laviolette, Mario Marchand, Pascal Germain, Nicolas Usunier: PAC-Bayes Bounds for the Risk of the Majority Vote and the Variance of the Gibbs Classifier. NIPS 2006: 769-776
	2005
17		François Laviolette, Mario Marchand, Mohak Shah: Margin-Sparsity Trade-Off for the Set Covering Machine. ECML 2005: 206-217
16		François Laviolette, Mario Marchand: PAC-Bayes risk bounds for sample-compressed Gibbs classifiers. ICML 2005: 481-488
15		François Laviolette, Mario Marchand, Mohak Shah: A PAC-Bayes approach to the Set Covering Machine. NIPS 2005
14		Mario Marchand, Marina Sokolova: Learning with Decision Lists of Data-Dependent Features. Journal of Machine Learning Research 6: 427-451 (2005)
	2004
13		Mario Marchand, Mohak Shah: PAC-Bayes Learning of Conjunctions and Classification of Gene-Expression Data. NIPS 2004
	2003
12		Mario Marchand, Mohak Shah, John Shawe-Taylor, Marina Sokolova: The Set Covering Machine with Data-Dependent Half-Spaces. ICML 2003: 520-527
	2002
11		Marina Sokolova, Mario Marchand, Nathalie Japkowicz, John Shawe-Taylor: The Decision List Machine. NIPS 2002: 921-928
10		Mario Marchand, John Shawe-Taylor: The Set Covering Machine. Journal of Machine Learning Research 3: 723-746 (2002)
	2001
9		Mario Marchand, John Shawe-Taylor: Learning with the Set Covering Machine. ICML 2001: 345-352
	1996
8		Mostefa Golea, Mario Marchand, Thomas R. Hancock: On learning ?-perceptron networks on the uniform distribution. Neural Networks 9(1): 67-82 (1996)
	1995
7		Mario Marchand, Saeed Hadjifaradji: Strong Unimodality and Exact Learning of Constant Depth µ-Perceptron Networks. NIPS 1995: 288-294
	1994
6		Mario Marchand, Saeed Hadjifaradji: Learning Stochastic Perceptrons Under k-Blocking Distributions. NIPS 1994: 279-286
5		Thomas R. Hancock, Mostefa Golea, Mario Marchand: Learning Nonoverlapping Perceptron Networks from Examples and Membership Queries. Machine Learning 16(3): 161-183 (1994)
	1993
4		Mostefa Golea, Mario Marchand: Average Case Analysis of the Clipped Hebb Rule for Nonoverlapping Perception Networks. COLT 1993: 151-157
3		Mostefa Golea, Mario Marchand: Polynomial Time Algorithms for Learning Neural Nets of NonoverlappingPerceptrons. Computational Intelligence 9: 155-170 (1993)
2		Mostefa Golea, Mario Marchand: On Learning Perceptrons with Binary Weights. Neural Computation 5(5): 767-782 (1993)
	1992
1		Mostefa Golea, Mario Marchand, Thomas R. Hancock: On Learning µ-Perceptron Networks with Binary Weights. NIPS 1992: 591-598

Coauthor Index

1	Pascal Germain	[18] [19] [22]
2	Mostefa Golea	[1] [2] [3] [4] [5] [8]
3	Saeed Hadjifaradji	[6] [7]
4	Thomas R. Hancock	[1] [5] [8]
5	Nathalie Japkowicz	[11]
6	Alexandre Lacasse	[18] [19] [22]
7	Luc Lamontagne	[20]
8	François Laviolette	[15] [16] [17] [18] [19] [21] [22]
9	Mohak Shah	[12] [13] [15] [17]
10	Sara Shanian	[21]
11	John Shawe-Taylor	[9] [10] [11] [12]
12	Marina Sokolova	[11] [12] [14]
13	Nicolas Usunier	[18]

Colors in the list of coauthors