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Pénalisation & Parcimonie

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<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>

</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>

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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>

</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>

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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>

</tr>

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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>

</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>

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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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