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Journal of Machine Learning Research
<html> <head> <!-- Global site tag (gtag.js) - Google Analytics --> <script async src="https://www.googletagmanager.com/gtag/js?id=UA-131826476-1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'UA-131826476-1'); </script> <meta http-equiv="Content-type" content="text/html;charset=UTF-8"> <!-- favicon --> <link rel="icon" href="/img/favicon.ico"> <link rel="icon" type="image/png" href="/img/favicon-16x16.png"> <link rel="icon" type="image/png" href="/img/favicon-32x32.png"> <title>Journal of Machine Learning Research</title> <link rel="alternate" type="application/rss+xml" href="/jmlr.xml" title="JMLR RSS"> <link rel="stylesheet" type="text/css" href="/style.css"> <style type="text/css"> . {font-family:verdana,helvetica,sans-serif} a {text-decoration:none;color:#3030a0} #fixed { position: absolute; top: 0; left: 0; width: 8em; height: 100%; } body > #fixed { position: fixed; } #content { margin-top: 1em; margin-left: 10em; margin-right: 0.5em; } img.jmlr { width: 7em; } img.rss { width: 2em; } ul li { margin-bottom: 0.5em; } </style> </head> <body> <div id="fixed"> <br> <a align="right" href="/" target=_top><img align="right" class="jmlr" src="/img/jmlr.jpg" border="0"></a> <p><br><br> <p align="right"> <A href="/"> Home Page </A> <p align="right"> <A href="/papers"> Papers </A> <p align="right"> <A href="/author-info.html"> Submissions </A> <p align="right"> <A href="/news.html"> News </A> <!--<p align="right"> <A href="/scope.html"> Scope </A>--> <p align="right" > <A href="/editorial-board.html"> Editorial Board </A> <p align="right" style="margin-bottom: 0"> <A href="/special_issues/"> <b>Special Issues </b></A> <p align='right' style='position: relative; left: 1.5em; font-size: 90%; margin: 0.2em'><a href="/special_issues/list.html">List of Special Issues</a></p> <p align='right' style='position: relative; left: 1.5em; font-size: 90%; margin: 0.2em'><a href="/special_issues/nomination.html">Nomination</a></p> <p align='right' style='position: relative; left: 1.5em; font-size: 90%; margin: 0.2em'><a href="/special_issues/contact.html">Contact and FAQ</a></p> <p align="right"> <A href="/mloss">Open Source Software</A> <p align="right"> <A href="https://proceedings.mlr.press/"> Proceedings (PMLR)</A> <p align="right"> <A href="https://data.mlr.press/"> Data (DMLR) </A> <p align="right"> <A href="/tmlr"> Transactions (TMLR) </A> <p align="right"> <A href="/search-jmlr.html"> Search </A> <p align="right"> <A href="/stats.html">Statistics</A> <p align="right"> <A href="/manudb"> Login </A></p> <p align="right"> <A href="/faq.html">Frequently Asked Questions </A></p> <p align="right"> <A href="/contact.html"> Contact Us </A></p> <br><br> <p align="right"> <A href="/jmlr.xml"> <img src="/img/RSS.gif" class="rss" alt="RSS Feed"> </A> </div> <div id="content"> <h1>List of Special Issues</h1> <h2>Active</h2> <p> <a href="climate_change.html">ML addressing problems of Climate Change </a> </p> <h2>Past</h2> <p> <a href="/papers/special/chervonenkis15.html"><font class="volume">In Memory of Alexey Chervonenkis</font></a> (Sep 2015) </p> <p> <a href="/papers/special/ica03.html"><font class="volume">Independent Components Analysis</font class="volume"></a> (December 2003) </p> <p> <a href="/papers/special/learning_theory03.html"><font class="volume">Learning Theory</font class="volume"></a> (Oct 2003) </p> <p> <a href="/papers/special/ilp03.html"><font class="volume">Inductive Logic Programming</font class="volume"></a> (Aug 2003) </p> <p> <a href="/papers/special/kdfusion03.html"><font class="volume">Fusion of Domain Knowledge with Data for Decision Support</font class="volume"></a> (Jul 2003) </p> <p> <a href="/papers/special/feature03.html"><font class="volume">Variable and Feature Selection</font class="volume"></a> (Mar 2003) </p> <p> <a href="/papers/special/text_images03.html"><font class="volume">Machine Learning Methods for Text and Images</font class="volume"></a> (February 2003) </p><p> <a href="/papers/special/icml01.html"><font class="volume">Eighteenth International Conference on Machine Learning (ICML2001)</font class="volume"></a> (December 2002) </p> <p> <a href="/papers/special/colt02.html"><font class="volume">Computational Learning Theory</font class="volume"></a> (Nov 2002) </p> <p> <a href="/papers/special/shallow_parsing02.html"><font class="volume">Shallow Parsing</font class="volume"></a> (Mar 2002) </p> <p> <a href="/papers/special/kernel01.html"><font class="volume">Kernel Methods</font class="volume"></a> (December 2001) </p> <table width="100%"> <tr> <td align="right"><font size="-1">© <a target="_top" href="https://www.jmlr.org">JMLR</a> 2024. </td> </tr> </table> </div> <!-- for mastodon verification --> <a style="font-size: 0" rel="me" href="https://sigmoid.social/@jmlr">Mastodon</a> </body> </html>