Differences

This shows you the differences between two versions of the page.

--- en:articles [2015/04/29 22:52] – [Penalization & Sparsity] grandval
+++ en:articles [2023/09/01 09:53] – [Dempster-Shafer Combination] grandval
@@ Line 1: / Line 1: @@
-====== Full Publication List (from 2002) ======
-**[[fr:publis|Publication list by type and date]]**
 ====== Selected Papers by Theme ======
@@ Line 9: / Line 5: @@
 ===== Penalization & Sparsity =====
-<html>
+  * Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, A. [[https://link.springer.com/content/pdf/10.1007/s10994-009-5150-6.pdf|Composite Kernel Learning]], //Machine Learning//, pp. 73-103, 2010.
-<table
+  * Rakotomamonjy, A. and Bach, F. and Canu, S. and Grandvalet, Y. [[https://hal.science/hal-00218338/document|SimpleMKL]], //Journal of Machine Learning Research//, 9, pp. 2491-2521, 2008.
+  * Rakotomamonjy, A. and Bach, F.R. and Canu, S. and Grandvalet, Y.[[https://icml.cc/imls/conferences/2007/proceedings/papers/148.pdf|More Efficiency in Multiple Kernel Learning]], //24th Annual International Conference on Machine Learning (ICML 2007)//, ed.: Ghahramani Z., pp. 775-782, 2007.
-<tr>
+  * Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, A. [[http://machinelearning.org/archive/icml2008/papers/665.pdf|Composite Kernel Learning]], //International Conference on Machine Learning (ICML 2008)//, pp. 1040-1047, 2008.
-  <td></td><td>
+  * Szafranski, M. and Grandvalet, Y. and Morizet-Mahoudeaux, P. [[https://proceedings.neurips.cc/paper_files/paper/2007/file/f29c21d4897f78948b91f03172341b7b-Paper.pdf|Hierarchical Penalization]], //Advances in Neural Information Processing Systems 20 (NIPS 2007)//, pp. 1457-1464, 2008.
-  <div><span class="author">Rakotomamonjy, A. and Bach, F. and Canu, S. and Grandvalet, Y.</span></div></td>
+  * Avalos, M. and Grandvalet, Y. and Ambroise, C. [[https://www.hal.inserm.fr/inserm-00149798/document|Parsimonious Additive Models]], //Computational Statistics and Data Analysis// 51(6), pp. 2851-2870, 2007
-  <td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=RAKO08, RI"  target="Content" title="display bibtex entry">Bibtex</a></td>
+  * Grandvalet, Y. and Canu, S. [[https://proceedings.neurips.cc/paper/2002/file/ee26fc66b1369c7625333bedafbfcaf6-Paper.pdf|Adaptive Scaling for Feature Selection in SVMs]], //Advances in Neural Information Processing Systems 15 (NIPS 2002)//, pp. 569-576, 2003.
-</tr>
+  * Grandvalet, Y. and Canu, S. [[https://proceedings.neurips.cc/paper_files/paper/1998/file/cfa5301358b9fcbe7aa45b1ceea088c6-Paper.pdf|Outcomes of the equivalence of adaptive ridge with least absolute shrinkage]], //Advances in Neural Information Processing Systems 11 (NIPS 1998)//, pp. 445-451, 1999.
-<tr>
+  * Grandvalet, Y. [[https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=c01ea6fd3c31151dd95f94165256d07777e62789|Least absolute shrinkage is equivalent to quadratic penalization]],//8th International Conference on Artificial Neural Networks (ICANN'98)//, Perspectives in Neural Computing, pp. 201-206, Springer, 1998.
-  <td colspan=2> <div id="title">SimpleMKL</div></td>
-  <td width=20% align=right valign=top><a HREF="./_media/papers/rakotomamonjy08.pdf">[pdf]</a></td>
-</tr>
-<tr>
-  <td colspan=2> <i>Journal of Machine Learning Research</i>, vol. 9, pp. 2491-2521, 2008
-</tr>
-<tr>
-  <td></td><td>
-  <div><span class="author">Rakotomamonjy, A. and Bach, F.R. and Canu, S. and Grandvalet, Y.</span></div></td>
-  <td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=RAKO07, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr>
-  <td colspan=2> <div id="title">More Efficiency in Multiple Kernel Learning</div></td>
-  <td width=20% align=right valign=top><a HREF="./data/media/papers/rakotomamonjy07.pdf">[pdf]</a></td>
-</tr>
-<tr>
-  <td colspan=2> <i>Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)</i>, ed.: Ghahramani Z., pp. 775-782, 2007
-</tr>
-<tr>
-  <td></td><td>
-  <div><span class="author">Szafranski, M. and Grandvalet, Y. and Rakotomamonjy, A.</span></div></td>
-  <td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=SZAF08, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr>
-  <td colspan=2> <div id="title">Composite Kernel Learning</div></td>
-  <td width=20% align=right valign=top><a HREF="./data/media/papers/szafranski08.pdf">[pdf]</a></td>
-</tr>
-<tr>
-  <td colspan=2> <i>International Conference on Machine Learning (ICML 2008)</i>, pp. 1040-1047, july, 2008
-</tr>
-<tr>
-  <td></td><td>
-  <div><span class="author">Szafranski, M. and Grandvalet, Y. and Morizet-Mahoudeaux, P.</span></div></td>
-  <td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=SZAF07, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr>
-  <td colspan=2> <div id="title">Hierarchical Penalization</div></td>
-  <td width=20% align=right valign=top><a HREF="./data/media/papers/szafranski07.pdf">[pdf]</a></td>
-</tr>
-<tr>
-  <td colspan=2> <i>Advances in Neural Information Processing Systems 20 (NIPS 2007)</i>, pp. 1457-1464, MIT press, 2008
-</tr>
-<tr>
-  <td></td><td>
-  <div><span class="author">Avalos, M. and Grandvalet, Y. and Ambroise, C.</span></div></td>
-  <td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=AVAL, RI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr>
-  <td colspan=2> <div id="title">Parsimonious Additive Models</div></td>
-  <td width=20% align=right valign=top><a HREF="./data/media/papers/avalos07.pdf">[pdf]</a></td>
-</tr>
-<tr>
-  <td colspan=2> <i>Computational Statistics and Data Analysis</i>, vol. 51, num. 6, pp. 2851-2870, 2007
-</tr>
-<tr>
-  <td></td><td>
-  <div><span class="author">Grandvalet, Y. and Canu, S.</span></div></td>
-  <td width=20% align=right valign=top><a href="../bibtex/grandvalet03.html">Bibtex</a></td>
-</tr>
-<tr>
-  <td colspan=2> <div id="title">Adaptive Scaling for Feature Selection in SVMs</div></td>
-  <td width=20% align=right valign=top><a HREF="../nips02.pdf">[pdf]</a></td>
-</tr>
-<tr>
-  <td colspan=2> <i>Advances in Neural Information Processing Systems 15 (NIPS 2002)</i>, pp. 569-576, MIT press, 2003</td>
-  <td width=20% align=right valign=top><a HREF="../nips02.ps.gz">[ps.gz]</a></td>
-</tr>
-<tr>
-  <td></td><td>
-  <div><span class="author">Grandvalet, Y. and Canu, S.</span></div></td>
-  <td width=20% align=right valign=top><a href="../bibtex/grandvalet98b.html">Bibtex</a></td>
-</tr>
-<tr>
-  <td colspan=2> <div id="title">Outcomes of the equivalence of adaptive ridge with least absolute shrinkage</div></td>
-  <td width=20% align=right valign=top><a HREF="../nips98.pdf">[pdf]</a></td>
-</tr>
-<tr>
-  <td colspan=2><i>Advances in Neural Information Processing Systems 11 (NIPS 1998)</i>, pp. 445-451, MIT press, 1999</td>
-  <td width=20% align=right valign=top><a HREF="../nips98.ps.gz">[ps.gz]</a></td>
-</tr>
-<tr>
-  <td></td><td>
-  <div><span class="author">Grandvalet, Y.</span></div></td>
-  <td width=20% align=right valign=top><a href="../bibtex/grandvalet98a.html">Bibtex</a></td>
-</tr>
-<tr>
-  <td colspan=2> <div id="title">Least absolute shrinkage is equivalent to quadratic penalization</div></td>
-  <td width=20% align=right valign=top><a HREF="../icann98.pdf">[pdf]</a></td>
-</tr>
-<tr>
-  <td colspan=2><i>ICANN'98</i>, Perspectives in Neural Computing, pp. 201-206, Springer, 1998</td>
-  <td width=20% align=right valign=top><a HREF="../icann98.ps.gz">[ps.gz]</a></td>
-</tr>
-<tr><td></td><td>
-<dd>  Matlab function for doing adaptive ridge regression or lasso</dd></td>
-<td width=20% align=right valign=top><a HREF="../arrfit.m">Matlab code</a>
-</td></tr>
-</table>
-</html>
 ===== Sparse Criteria & Reject Option =====
-<html>
-<table
-<tr><td></td>
-<td><div><span class="author">Grandvalet, Y. and Rakotomamonjy, A. and Keshet, J. and Canu, S.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=GRAN08, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Support Vector Machines with a Reject Option
-</div><i>Advances in Neural Information Processing Systems 21</i>, pp. 537-544, publisher: MIT Press, 2008<br></tr>
-<tr><td></td>
-<td><div><span class="author">H&eacute;rault, R. and Grandvalet, Y.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=HÈRA08, RN"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Classifieurs Probabilistes Parcimonieux
-</div><i>Traitement du Signal</i>, vol. 25, num. 4, pp. 279-291, 2008<br></tr>
-</td></tr><tr><td>
-<td><div><span class="author">H&eacute;rault, R. and Grandvalet, Y.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=HÈRA07, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Sparse Probabilistic Classifiers
-</div><i>Proceedings of 24th International Conference on Machine Learning</i>, Oregon State University, Corvallis, Oregon, USA, pp. 337-344, ed.: Ghahramani Z., June, 2007<br><a href="http://www.machinelearning.org/proceedings/icml2007/papers/233.pdf" TARGET="_blank"><img SRC="http://www.hds.utc.fr/publication/images/web.gif" align=left>document</a><br></tr>
-</td></tr><tr><td>
-<td><div><span class="author">Grandvalet, Y. and Mari&eacute;thoz, J. and Bengio, S.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=GRAN06a, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">A probabilistic interpretation of SVMs with an application to unbalanced classification
-</div><i>Advances in Neural Information Processing Systems 18</i>, pp. 467-474, publisher: MIT Press, 2006<br></tr>
-</table>
-</html>
+  * Grandvalet, Y. and Rakotomamonjy, A. and Keshet, J. and Canu, S. [[https://proceedings.neurips.cc/paper/2008/file/3df1d4b96d8976ff5986393e8767f5b2-Paper.pdf|Support Vector Machines with a Reject Option]], //Advances in Neural Information Processing Systems 21 (NIPS//, pp. 537-544, publisher: MIT Press, 2008.
+  * Hérault, R. and Grandvalet, Y. [[https://hal.science/hal-00442731/document|Classifieurs Probabilistes Parcimonieux]], //Traitement du Signal//, 25(4), pp. 279-291, 2008.
+  * Hérault, R. and Grandvalet, Y. [[http://www.machinelearning.org/proceedings/icml2007/papers/233.pdf|Sparse Probabilistic Classifiers]], //24th International Conference on Machine Learning (ICML 2007)//, ed.: Ghahramani Z., 2007.
+  * Grandvalet, Y. and Mariéthoz, J. and Bengio, S. [[https://proceedings.neurips.cc/paper_files/paper/2005/file/f804d21145597e42851fa736e221da3f-Paper.pdf|A probabilistic interpretation of SVMs with an application to unbalanced classification]], // Advances in Neural Information Processing Systems 18 (NIPS 2005)//, pp. 467-474, 2006.
 ===== Semi-Supervised Learning =====
-<html>
+  * Grandvalet, Y. and Bengio, Y. [[http://www.iro.umontreal.ca/~lisa/pointeurs/entropy_regularization_2006.pdf|Entropy Regularization]], // Semi-Supervised Learning//, ed.: Chapelle, O. and Schoelkopf, B. and Zien, A., pp. 151-168, series: Adaptive Computation and Machine Learning, MIT Press, 2006.
-<table
+  * Grandvalet, Y. and Bengio, Y. [[https://proceedings.neurips.cc/paper_files/paper/2004/file/96f2b50b5d3613adf9c27049b2a888c7-Paper.pdf|Semi-supervised learning by entropy minimization]], //Advances in Neural Information Processing Systems 17 (NIPS 2004)//, pp. 529-536, 2005.
+  * d'Alché Buc F., Grandvalet Y. and Ambroise, C.n [[https://proceedings.neurips.cc/paper/2001/file/931af583573227f0220bc568c65ce104-Paper.pdf|Semi-supervised marginboost]], // Advances in Neural Information Processing Systems 14 (NIPS 2001)//, pp.  553-560, 2002.
-<tr><td></td>
-<td><div><span class="author">Grandvalet, Y. and Bengio, Y.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=GRAN06, Ch"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">chapter:"Entropy Methods"
-</div><i>Semi-Supervised Learning</i>
-, ed.: Chapelle, O. and Schoelkopf, B. and Zien, A., pp. 151-168, series: Adaptive Computation and Machine Learning, MIT Press, 2006<br></tr>
-<tr><td></td>
-<td><div><span class="author">Grandvalet, Y. and Bengio, Y.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=GRAN05, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Semi-supervised learning by entropy minimization
-</div><i>Neural Information Processing Systems 17</i>, Vancouver, Canada, pp. 529-536, MIT Press, 2005<br></tr>
-<tr><td></td>
-<td><div><span class="author">d'Alch&eacute; Buc F., Grandvalet Y. and Ambroise, C.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=GRAN05, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Semi-supervised learning by entropy minimization
-</div><i>Neural Information Processing Systems 14</i>, Vancouver, Canada, pp.  553-560, MIT Press, 2002<br></tr>
-</table>
-</html>
 ===== Cross-Validation =====
-<html>
+  * Bengio, Y. and Grandvalet, Y. [[https://www.jmlr.org/papers/volume5/grandvalet04a/grandvalet04a.pdf|No unbiased estimator of the variance of K-fold cross-validation]]//, Journal of Machine Learning Research//, 5, pp. 1089-1105, 2004.
-<table>
+  * Bengio, Y. and Grandvalet, Y. [[https://papers.nips.cc/paper_files/paper/2003/hash/e82c4b19b8151ddc25d4d93baf7b908f-Abstract.html|No unbiased estimator of the variance of K-fold cross-validation]], // Advances in Neural Information Processing Systems 16 (NIPS 2003)//, pp. 513-520, 2004.
-<tr>
-  <td width=100%><div><span class="author">Bengio, Y. and Grandvalet, Y.</span></div></td>
-  <td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=BENG04, RI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr>
-  <td width=80%> <div id="title">No unbiased estimator of the variance of K-fold cross-validation</div></td>
-  <td width=20% align=right valign=top><a HREF="../JMLR04.pdf">[pdf]</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
- <td colspan=1> <i>Journal of Machine Learning Research</i>, vol. 5, pp. 1089-1105, 2004<br></td>
-</tr>
-<td width=80%>
-  <div><span class="author">Bengio, Y. and Grandvalet, Y.</span></div></td>
-  <td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=BENG03, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr>
-  <td width=80%> <div id="title">No unbiased estimator of the variance of K-fold cross-validation</div></td>
-  <td width=20% align=right valign=top><a HREF="../nips03.pdf">[pdf]</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
- <td> <i>Advances in Neural Information Processing Systems 16 (NIPS 2003)</i>, pp. 513-520, 2004<br></td>
-</tr>
-</table>
-</html>
 ===== Bagging =====
-<html>
+  * Grandvalet, Y. [[https://link.springer.com/article/10.1023/b:mach.0000027783.34431.42|Bagging equalizes influence]]//Machine Learning//, 55(3), pp. 251-270, 2004.
-<table
-<tr>
-  <td></td><td>
-  <div><span class="author">Grandvalet, Y.</span></div></td>
-  <td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=GRAN04, RI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-  <td colspan=2> <div id="title">Bagging equalizes influence</div><i>Machine Learning</i>, vol. 55, num. 3, pp. 251-270, 2004
-</tr>
-</table>
-</html>
 ===== Dempster-Shafer Combination =====
-<html>
+  * François, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M. [[https://www.sciencedirect.com/science/article/pii/S1566253503000058|Resample and combine : an approach to improving uncertainty representation in evidential pattern classification]], //Information Fusion// 4(2), pp. 75-85, 2003.
-<table
-<tr><td></td>
-<td><div><span class="author">Fran&ccedil;ois, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=FRAN03a, RI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Resample and combine : an approach to improving uncertainty representation in evidential pattern classification
-</div><i>Information Fusion</i>, vol. 4, num. 2, pp. 75-85, 2003<br></tr>
-<tr><td></td>
-<td><div><span class="author">Fran&ccedil;ois, J. and Grandvalet, Y. and Denoeux, T. and Roger, J.M.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=FRAN03b, RI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Addenda to resample and combine : an approach to improving uncertainty representation in evidential pattern classification
-</div><i>Information Fusion</i>, vol. 4, num. 3, pp. 235-236, 2003<br></tr>
-</table>
-</html>
 ===== Applications =====
-<html>
+  * Paiement, J.-F. and Grandvalet, Y. and Bengio, S. [[https://research.google/pubs/pub34342.pdf|Predictive models for music]], // Connection Science//, vol. 21, num. 2-3, pp. 253-272, 2009.
-<table
+  * Paiement, J.-F. and Grandvalet, Y. and Bengio, S. and Eck, D. [[https://research.google/pubs/pub34393.pdf|A Distance Model for Rhythms]], //Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008) //, pp. 736-743, ed.: McCallum, A. and Roweis, S., 2008.
+  * Mariéthoz, J. and Bengio, S. and Grandvalet, Y. [[https://onlinelibrary.wiley.com/doi/abs/10.1002/9780470742044.ch12|Kernel Based Text-Independent Speaker Verification]], // Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods// ed.: Keshet, J. and Bengio, S., pp. 197-224, John Wiley & Sons, 2008.
-<tr><td></td>
+  * Hérault, R. and Davoine, F. and Grandvalet, Y. [[https://hal.science/hal-00442753v1/file/fg2006.pdf|Head and Facial Action Tracking: Comparison of two Robust Approaches]], //7th IEEE International Conference on Automatic Face and Gesture Recognition//, pp. 287-292, 2006.
-<td><div><span class="author">Paiement, J.-F. and Grandvalet, Y. and Bengio, S.</span></div></td>
+  * Grandvalet, Y. and Masson, M.-H.</span></div></td>, Réseaux de neurones pour le diagnostic, //Trait&eacute; IC2, Diagnostic : Intelligence Artificielle et Reconnaissance des Formes//, ed.: B. Dubuisson, pp. 179-218, Hermès, 2001
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=PAIE09, RI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Predictive models for music
-</div><i>Connection Science</i>, vol. 21, num. 2-3, pp. 253-272, 2009
-<br><a href="dx.doi.org/10.1080/09540090902733806 http://hal.archives-ouvertes.fr/hal-00416135/en/" TARGET="_blank"><img SRC="http://www.hds.utc.fr/publication/images/web.gif" align=left>document</a><br></tr>
-<tr><td></td>
-<td><div><span class="author">Paiement, J.-F. and Grandvalet, Y. and Bengio, S. and Eck, D.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=PAIE08, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">A Distance Model for Rhythms
-</div><i>Proceedings of the 25th Annual International Conference on Machine Learning (ICML 2008)</i>, pp. 736-743, ed.: McCallum, A. and Roweis, S., publisher: Omnipress, 2008<br></tr>
-<tr><td></td>
-<td><div><span class="author">Mari&eacute;thoz, J. and Bengio, S. and Grandvalet, Y.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=MARI08, Ch"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">chapter:"Kernel Based Text-Independent Speaker Verification"
-</div><i>Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods</i>
-, ed.: Keshet, J. and Bengio, S., pp. 197-224, John Wiley & Sons, 2008<br></tr>
-<tr><td></td>
-<td><div><span class="author">H&eacute;rault, R. and Davoine, F. and Grandvalet, Y.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=HÈRA06, CI"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">Head and Facial Action Tracking: Comparison of two Robust Approaches
-</div><i>7th IEEE International Conference on Automatic Face and Gesture Recognition</i>, Southampton, UK, pp. 287-292, publisher: IEEE Computer Society, April, 2006<br><a href="http://eprints.pascal-network.org/archive/00002239/" TARGET="_blank"><img SRC="http://www.hds.utc.fr/publication/images/web.gif" align=left>document</a><br></tr>
-<tr><td></td>
-<td><div><span class="author">Grandvalet, Y. and Masson, M.-H.</span></div></td>
-<td width=20% align=right valign=top><a href="http://www.hds.utc.fr/publication/displaysinglebibtex.php?bibtexCitation=GRAN01, Ch"  target="Content" title="display bibtex entry">Bibtex</a></td>
-</tr>
-<tr style="border-bottom:10px solid #FFFFFF;">
-<td colspan=2> <div id="title">chapter:"R&eacute;seaux de neurones pour le diagnostic"
-</div><i>Trait&eacute; IC2, Diagnostic : Intelligence Artificielle et Reconnaissance des Formes</i>
-, ed.: B. Dubuisson, pp. 179-218, Herm&egrave;s, 2001<br></tr>
-</table>
-</html>

UMR CNRS 7253

Site Tools

Differences

Page Tools

User Tools