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Stéphane Canu

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2008
30EEKarina Zapien Arreola, Thomas Gärtner, Gilles Gasso, Stéphane Canu: Regularization path for Ranking SVM. ESANN 2008: 415-420
29EEYves Grandvalet, Alain Rakotomamonjy, Joseph Keshet, Stéphane Canu: Support Vector Machines with a Reject Option. NIPS 2008: 537-544
2007
28EEGilles Gasso, Karina Zapien Arreola, Stéphane Canu: Computing and stopping the solution paths for $\nu$-SVR. ESANN 2007: 253-258
27EEKarina Zapien Arreola, Gilles Gasso, Stéphane Canu: Estimation of tangent planes for neighborhood graph correction. ESANN 2007: 397-402
26EEAlain Rakotomamonjy, Francis Bach, Stéphane Canu, Yves Grandvalet: More efficiency in multiple kernel learning. ICML 2007: 775-782
25EEGaëlle Loosli, Gilles Gasso, Stéphane Canu: Regularization Paths for nu -SVM and nu -SVR. ISNN (3) 2007: 486-496
24EEGaëlle Loosli, Stéphane Canu: Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets". Journal of Machine Learning Research 8: 291-301 (2007)
2006
23EEStéphane Canu, Alexander J. Smola: Kernel methods and the exponential family. Neurocomputing 69(7-9): 714-720 (2006)
22EEVincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Translation-invariant classification of non-stationary signals. Neurocomputing 69(7-9): 743-753 (2006)
21EEVincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Kernel Basis Pursuit. Revue d'Intelligence Artificielle 20(6): 757-774 (2006)
2005
20 Gaëlle Loosli, Sans-Goog Lee, Stéphane Canu: Détection de contexte par l'apprentissage. CAP 2005: 111-112
19 Vincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Kernel Basis Pursuit. CAP 2005: 93-106
18EEVincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Kernel Basis Pursuit. ECML 2005: 146-157
17EEStéphane Canu, Alexander J. Smola: Kernel methods and the exponential family. ESANN 2005: 447-454
16EEVincent Guigue, Alain Rakotomamonjy, Stéphane Canu: Translation invariant classification of non-stationary signals. ESANN 2005: 473-478
15EEQuoc V. Le, Alexander J. Smola, Stéphane Canu: Heteroscedastic Gaussian process regression. ICML 2005: 489-496
14EEBruno Grilheres, Christophe Beauce, Stéphane Canu, Stephan Brunessaux: A Platform for Semantic Annotations and Ontology Population Using Conditional Random Fields. Web Intelligence 2005: 790-793
13EEAlain Rakotomamonjy, Stéphane Canu: Frames, Reproducing Kernels, Regularization and Learning. Journal of Machine Learning Research 6: 1485-1515 (2005)
12EEGaëlle Loosli, Stéphane Canu, S. V. N. Vishwanathan, Alexander J. Smola, M. Chattopadhyay: Boîte à outils SVM simple et rapide. Revue d'Intelligence Artificielle 19(4-5): 741-767 (2005)
2004
11EECheng Soon Ong, Xavier Mary, Stéphane Canu, Alexander J. Smola: Learning with non-positive kernels. ICML 2004
10EEMikhail F. Kanevski, Roman Parkin, Aleksey Pozdnukhov, Vadim Timonin, Michel Maignan, Vasiliy V. Demyanov, Stéphane Canu: Environmental data mining and modeling based on machine learning algorithms and geostatistics. Environmental Modelling and Software 19(9): 845-855 (2004)
2003
9 Icham Sefion, Abdel Ennaji, Marc Gailhardou, Stéphane Canu: Aide à la décision médicale Contribution pour la prise en charge de l'asthme. Ingénierie des Systèmes d'Information 8(1): 11-32 (2003)
2002
8EEAlain Rakotomamonjy, Stéphane Canu: Frame Kernels for Learning. ICANN 2002: 707-712
7EEYves Grandvalet, Stéphane Canu: Adaptive Scaling for Feature Selection in SVMs. NIPS 2002: 553-560
2000
6EESkander Soltani, Daniel Boichu, Patrice X. Simard, Stéphane Canu: The long-term memory prediction by multiscale decomposition. Signal Processing 80(10): 2195-2205 (2000)
1998
5EEYves Grandvalet, Stéphane Canu: Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage. NIPS 1998: 445-451
1997
4 Skander Soltani, Stéphane Canu, Daniel Boichu, Yves Grandvalet: Wavelet Frames Based Estimator. ICANN 1997: 319-324
3 Yves Grandvalet, Stéphane Canu: Adaptive Noise Injection for Input Variables Relevance Determination. ICANN 1997: 463-468
2EEYves Grandvalet, Stéphane Canu, Stéphane Boucheron: Noise Injection: Theoretical Prospects. Neural Computation 9(5): 1093-1108 (1997)
1993
1 Thibault Langlois, Stéphane Canu: B-Learning: A Reinforcement Learning Algorithm, Comparison with Dynamic Programming. IWANN 1993: 261-266

Coauthor Index

1Karina Zapien Arreola [27] [28] [30]
2Francis R. Bach (Francis Bach) [26]
3Christophe Beauce [14]
4Daniel Boichu [4] [6]
5Stéphane Boucheron [2]
6Stephan Brunessaux [14]
7M. Chattopadhyay [12]
8Vasiliy V. Demyanov [10]
9Abdel Ennaji [9]
10Marc Gailhardou [9]
11Thomas Gärtner [30]
12Gilles Gasso [25] [27] [28] [30]
13Yves Grandvalet [2] [3] [4] [5] [7] [26] [29]
14Bruno Grilheres [14]
15Vincent Guigue [16] [18] [19] [21] [22]
16Mikhail F. Kanevski [10]
17Joseph Keshet [29]
18Thibault Langlois [1]
19Quoc V. Le [15]
20Sans-Goog Lee [20]
21Gaëlle Loosli [12] [20] [24] [25]
22Michel Maignan [10]
23Xavier Mary [11]
24Cheng Soon Ong [11]
25Roman Parkin [10]
26Aleksey Pozdnukhov [10]
27Alain Rakotomamonjy [8] [13] [16] [18] [19] [21] [22] [26] [29]
28Icham Sefion [9]
29Patrice X. Simard [6]
30Alexander J. Smola (Alex J. Smola) [11] [12] [15] [17] [23]
31Skander Soltani [4] [6]
32Vadim Timonin [10]
33S. V. N. Vishwanathan (Vishy Vishwanathan) [12]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)