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en:code [2014/06/20 16:28] – external edit 127.0.0.1en:code [2023/09/01 10:03] (current) – grandval
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 As usual, these codes are provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall we be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software. As usual, these codes are provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. In no event shall we be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.
  
-<html> +Adaptive Ridge Regression a.k.a lasso 
-<table> +[[https://www.hds.utc.fr/~grandval/arrfit.m|Matlab function[.m]]], introduced in [[https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=c01ea6fd3c31151dd95f94165256d07777e62789|Least absolute shrinkage is equivalent to quadratic penalization]] and generalized to group-lasso in  
-<tr> + [[https://proceedings.neurips.cc/paper_files/paper/1998/file/cfa5301358b9fcbe7aa45b1ceea088c6-Paper.pdf|Outcomes of the equivalence of adaptive ridge with least absolute shrinkage]]. 
-<td width=40% align=left valign=top> Adaptive Ridge Regression a.k.a lasso</td> + 
-<td width=20% align=right valign=top><a HREF="https://www.hds.utc.fr/~grandval/arrfit.m">Matlab function[.m]</a></td> +Sparse Linear Discriminant Analysis by GLOSS [[https://www.hds.utc.fr/~grandval/OSpenfitvar1.m|Matlab function[.m]]], introduced in [[https://icml.cc/Conferences/2012/papers/591.pdf|An Efficient Approach to Sparse Linear Discriminant Analysis]].
-<td width=40% align=right valign=top> +
-  <a HREF="https://www.hds.utc.fr/~grandval/icann98.pdf">ICANN paper[.pdf]</a>    +
-  <a HREF="https://www.hds.utc.fr/~grandval/nips98.pdf">NIPS paper[.pdf]</a></td> +
-</tr> +
-<tr> +
-<tr> +
-<td width=40% align=left valign=top> Sparse Linear Discriminant Analysis by GLOSS</td> +
-<td width=20% align=right valign=top><a HREF="https://www.hds.utc.fr/~grandval/OSpenfitvar1.m">Matlab function[.m]</a></td> +
-<td width=40% align=right valign=top> +
-  <a HREF="http://arxiv.org/abs/1206.6472">ICML paper at arXiv</a> +
-</td> +
-</tr> +
-</table> +
-</html>+
  

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en/code.1403274488.txt.gz · Last modified: 2014/06/20 16:28 by 127.0.0.1
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