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Pénalisation & Parcimonie
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<td></td><td> <div><span class="author">Rakotomamonjy, A. and Bach, F. 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=RAKO08, RI" target="Content" title="display bibtex entry">Bibtex</a></td>
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<td colspan=2> <div id="title">SimpleMKL</div></td> <td width=20% align=right valign=top><a HREF="./data/media/papers/rakotomamonjy08.pdf">[pdf]</a></td>
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<td colspan=2> <i>Journal of Machine Learning Research</i>, vol. 9, pp. 2491-2521, 2008
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<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>
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<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>
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<td colspan=2> <i>Proceedings of the 24th Annual International Conference on Machine Learning (ICML 2007)</i>, ed.: Ghahramani Z., pp. 775-782, 2007
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<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>
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<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>
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<td colspan=2> <i>International Conference on Machine Learning (ICML 2008)</i>, pp. 1040-1047, july, 2008
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<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>
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<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>
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<td colspan=2> <i>Advances in Neural Information Processing Systems 20 (NIPS 2007)</i>, pp. 1457-1464, MIT press, 2008
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<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>
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<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>
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<td colspan=2> <i>Computational Statistics and Data Analysis</i>, vol. 51, num. 6, pp. 2851-2870, 2007
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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<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>
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Critères parcimonieux & rejet
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<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”>Hérault, 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”>Hérault, 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=“./images/web.gif” align=left>document</a><br></tr>
</td></tr><tr><td> <td><div><span class=“author”>Grandvalet, Y. and Mariéthoz, 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>
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