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en:articles [2023/08/31 14:02] – [Sparse Criteria & Reject Option] grandvalen:articles [2023/09/01 09:53] – [Dempster-Shafer Combination] grandval
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 ===== Penalization & Sparsity ===== ===== 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="https://www.hds.utc.fr/~grandval/dokuwiki/_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="https://www.hds.utc.fr/~grandval/dokuwiki/_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="https://www.hds.utc.fr/~grandval/dokuwiki/_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="https://www.hds.utc.fr/~grandval/dokuwiki/_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="https://www.hds.utc.fr/~grandval/dokuwiki/_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> +
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 ===== Sparse Criteria & Reject Option ===== ===== Sparse Criteria & Reject Option =====
  
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 ===== Dempster-Shafer Combination ===== ===== Dempster-Shafer Combination =====
  
-  * Unordered List ItemFrançois, 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.+  * 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.
  
  

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