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Date: Tue, 05 Nov 1996 21:00:33 GMTServer: NCSA/1.5Content-type: text/htmlLast-modified: Fri, 26 Apr 1996 16:34:28 GMTContent-length: 2717<HTML><HEAD><TITLE> University of Wisconsin - Machine Learning Paper-Reading Group </TITLE></HEAD><BODY><!WA0><IMG ALIGN=MIDDLE      ALT="UW-Madison Machine Learning Research Group"      SRC="http://www.cs.wisc.edu/~shavlik/mlrg//~shavlik/mlrg/mlrg-logo.gif"><P><H3> The Spring '96 paper-reading schedule of the ML research group: </H3>(Meetings are at 10:00 AM in CS&S 2310, and are open to students whohave taken CS 760 and are willing to present a paper to the group.)<P>Our <!WA1><A HREF="http://www.cs.wisc.edu/~shavlik/mlrg//~shavlik/mlrg/old-scheds.html"> old schedules</A> are also on line.<P><!WA2><img src="http://www.cs.wisc.edu/~shavlik/mlrg//~shavlik/images/rainline.gif"><P><UL>    <LI> March 19 (Tuesday)       <UL>                  <LI> <B> J.B. Golden, D. Torgersen, and C. Tibbetts.</B> 1993.                Pattern Recognition for Automated DNA Sequencing: I. On-line                Signal Contitioning and Feature Extraction for                 Basecalling.                 <EM> First International Conference on Intelligent                Systems  for Molecular Biology. </EM>            <LI> presented by Carolyn Allex       </UL>    <BR>    <LI> April 2 (Tuesday)       <UL>                  <LI> <B> R Miikkilainen, and M. Dyer</B> 1991.<!WA3><a		href="http://www.cs.utexas.edu/users/nn/abstracts.html#miikkulainen.natural-language.ps.Z">		Natural Language Processing with Modular Neural Networks and		Distributed Lexicon. </a>                <EM> Cognitive Science, Volume 15 pp343-399 </EM>                 <B>Only read the first 10-15 pages.</B>            <LI> presented by Gil       </UL>    <BR>    <LI> April 16 (Tuesday)       <UL>                  <LI> <B> J.R. Quinlan</B> 1994.                Comparing Connectionist and Symbolic Learning Methods                <EM> Computational Learning Theory and Natural Learning Systems                I: Constraints and Prospects, </EM> 445-456. Hanson, Drastal,                and Rivest (eds). Cambridge, MA: MIT Press.           <li> <b> D.B. Skalak</b> 1994.                <em> Prototype and Feature Selection by Sampling and Random                Mutation Hill Climbing Algorithms, </em> 293-301. Proc 11th                Intl Conf on Machine Learning (ML-94). New Brunswick, NJ:                Morgan Kaufmann.           <LI> presented by Kevin Cherkauer       </UL>    <BR>    <LI> May 14 (Tuesday)       <UL>       	<LI> <B> P. Auer, R. Holte and W. Maass</B> 1995.	<!WA4><A HREF="http://www.csi.uottawa.ca/~holte/Learning/ml95.agnostic-pac.ps">	Theory and Applications of Agnostic PAC-Learning with Small Decision Trees,	</A> <EM> Proc. of the 12th International Conference on	Machine Learning </EM> pp. 21-29.	<LI> presented by Mark Craven       </UL>    <BR>    </UL></BODY></HTML>

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