<center><h1><i>Machine Learning</i> Journal</h1></center>
<center>Foster Provost, Editor-in-Chief</center>
<hr><i>Machine Learning</i> publishes articles on the mechanisms through
which intelligent systems improve their performance over time. We invite
authors to submit papers describing computational approaches to any aspect
of learning. This page provides pointers to information for potential authors.
Information on subscriptions and electronic access is available from the
first item below:
<ul>
<li>
<a href="http://pages.stern.nyu.edu/%7Efprovost/MLJ/aims-and-scope.html">Aims
and Scope</a>.</li>
<li>
<a href="http://pages.stern.nyu.edu/%7Efprovost/MLJ/info-for-authors.html">Some General
Information for Authors</a>.</li>
</ul>
<ul>
<li><a href="http://www.springer.com/sgw/cda/frontpage/0,11855,4-147-70-35726603-0,00.html?detailsPage=contentItemPage&contentItemId=140694&CIPageCounter=CI_FOR_AUTHORS_AND_EDITORS_PAGE0">Instructions for Authors (from Springer site)</a> </li>
</ul>
<ul>
<li>
<a href="http://pages.stern.nyu.edu/%7Efprovost/MLJ/mailing-addresses.html" target="_top">Names
and addresses of the editorial board</a>. (remove the"l" from the end of that link) </li>
</ul>
<ul>
<li>
<a href="http://www.springeronline.com/sgw/cda/frontpage/0,11855,4-147-70-35726603-0,00.html">Springer's
home page for Machine Learning.</a></li>
<li>
<a href="http://www.wkap.nl/jrnltoc.htm/0885-6125">Springer's (Kluwer's)
home page for Machine Learning Online</a>.</li></ul>
