2008 |
30 | EE | Karina Zapien Arreola,
Thomas Gärtner,
Gilles Gasso,
Stéphane Canu:
Regularization path for Ranking SVM.
ESANN 2008: 415-420 |
29 | EE | Yves Grandvalet,
Alain Rakotomamonjy,
Joseph Keshet,
Stéphane Canu:
Support Vector Machines with a Reject Option.
NIPS 2008: 537-544 |
2007 |
28 | EE | Gilles Gasso,
Karina Zapien Arreola,
Stéphane Canu:
Computing and stopping the solution paths for $\nu$-SVR.
ESANN 2007: 253-258 |
27 | EE | Karina Zapien Arreola,
Gilles Gasso,
Stéphane Canu:
Estimation of tangent planes for neighborhood graph correction.
ESANN 2007: 397-402 |
26 | EE | Alain Rakotomamonjy,
Francis Bach,
Stéphane Canu,
Yves Grandvalet:
More efficiency in multiple kernel learning.
ICML 2007: 775-782 |
25 | EE | Gaëlle Loosli,
Gilles Gasso,
Stéphane Canu:
Regularization Paths for nu -SVM and nu -SVR.
ISNN (3) 2007: 486-496 |
24 | EE | Gaëlle 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 |
23 | EE | Stéphane Canu,
Alexander J. Smola:
Kernel methods and the exponential family.
Neurocomputing 69(7-9): 714-720 (2006) |
22 | EE | Vincent Guigue,
Alain Rakotomamonjy,
Stéphane Canu:
Translation-invariant classification of non-stationary signals.
Neurocomputing 69(7-9): 743-753 (2006) |
21 | EE | Vincent 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 |
18 | EE | Vincent Guigue,
Alain Rakotomamonjy,
Stéphane Canu:
Kernel Basis Pursuit.
ECML 2005: 146-157 |
17 | EE | Stéphane Canu,
Alexander J. Smola:
Kernel methods and the exponential family.
ESANN 2005: 447-454 |
16 | EE | Vincent Guigue,
Alain Rakotomamonjy,
Stéphane Canu:
Translation invariant classification of non-stationary signals.
ESANN 2005: 473-478 |
15 | EE | Quoc V. Le,
Alexander J. Smola,
Stéphane Canu:
Heteroscedastic Gaussian process regression.
ICML 2005: 489-496 |
14 | EE | Bruno Grilheres,
Christophe Beauce,
Stéphane Canu,
Stephan Brunessaux:
A Platform for Semantic Annotations and Ontology Population Using Conditional Random Fields.
Web Intelligence 2005: 790-793 |
13 | EE | Alain Rakotomamonjy,
Stéphane Canu:
Frames, Reproducing Kernels, Regularization and Learning.
Journal of Machine Learning Research 6: 1485-1515 (2005) |
12 | EE | Gaëlle 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 |
11 | EE | Cheng Soon Ong,
Xavier Mary,
Stéphane Canu,
Alexander J. Smola:
Learning with non-positive kernels.
ICML 2004 |
10 | EE | Mikhail 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 |
8 | EE | Alain Rakotomamonjy,
Stéphane Canu:
Frame Kernels for Learning.
ICANN 2002: 707-712 |
7 | EE | Yves Grandvalet,
Stéphane Canu:
Adaptive Scaling for Feature Selection in SVMs.
NIPS 2002: 553-560 |
2000 |
6 | EE | Skander Soltani,
Daniel Boichu,
Patrice X. Simard,
Stéphane Canu:
The long-term memory prediction by multiscale decomposition.
Signal Processing 80(10): 2195-2205 (2000) |
1998 |
5 | EE | Yves 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 |
2 | EE | Yves 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 |