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Date: Thu, 07 Nov 1996 19:08:10 GMTServer: NCSA/1.5Content-type: text/htmlLast-modified: Thu, 19 Sep 1996 20:01:11 GMTContent-length: 9083<HTML><HEAD><TITLE> Jude W. Shavlik's Home Page </TITLE></HEAD><BODY><H1> <!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><!WA0><IMG ALIGN=MIDDLE SRC="http://www.cs.wisc.edu/~shavlik//~pubs/faculty-info/shavlik.gif"> Jude W. Shavlik</H1><BLOCKQUOTE>Associate Professor<BR>Computer Sciences Department<BR>University of Wisconsin<BR>1210 W. Dayton St.<BR>Madison, WI 53706-1685<BR><P>E-mail: <!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><!WA1><A HREF="mailto:shavlik@cs.wisc.edu">shavlik@cs.wisc.edu</A><BR>Telephone: (608) 262-7784<BR>Fax: (608) 262-9777<BR></BLOCKQUOTE><EM>Ph.D., University of Illinois, Urbana, 1988</EM><BR><EM>Interests:</EM> machine learning, neural networks, artificial intelligence,informational retrieval, computational biology<P><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><!WA2><img src="http://www.cs.wisc.edu/~shavlik//~shavlik/images/rainline.gif"><P><H2> Table of Contents </H2> <UL> <LI> <!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><!WA3><A HREF="#summary"> Research Summary</A> <LI> <!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><!WA4><A HREF="#students"> PhD Students</A> <LI> <!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><!WA5><A HREF="#pubs"> Selected Recent Publications</A> <LI> <!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><!WA6><A HREF="#courses"> Courses Taught</A> <LI> <!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><!WA7><A HREF="#links"> Some Interesting Links</A> </UL> <P> <!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><!WA8><img src="http://www.cs.wisc.edu/~shavlik//~shavlik/images/rainline.gif"><P><A NAME="summary"><H2> Research Summary </H2> </A>We are primarily developing machine learning systems that combine thestrengths of symbolic approaches to artificial intelligence with those ofconnectionist AI. A major focus is improving the dialog between humanteachers and machine learners. Traditionally, this interaction is limited tothe teacher providing labelled training examples to the machine. Toward thegoal of widening the ``communication pipeline'' between human and machine, wehave been developing a language for providing, in a natural manner and at anytime, general-purpose advice to a machine learner. In our approach, the humanadvice-giver observes the behavior of the learner and occasionally makessuggestions, expressed in a simple language. Based on techniques developed inour work on knowledge-based neural networks, these instructions are inserteddirectly into learner. Subsequent connectionist (neural network) learningfurther integrates and refines the advice.<P>Currently, we are extending the language used to advise our learning algorithms, studying new ways of incorporating this advice into neural networks,investigating the extraction of human-comprehensible rules from trained neural networks,and developing methods for choosing good representations for training examples. We are also developing parallel algorithms, on the department's Condor system and our CM-5 computer,for machine learning and computational biology.<P>Shavlik <!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><!WA9><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/shavlik.tr92.ps">(1992)</A> and <!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><!WA10><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/shavlik.icnn96.ps">(1996)</A>provide an overview of our approach to knowledge-based neural networks.Recent developments appear in the papers referenced on this page, as wellas in the "home pages" of the students listed below.<P><A NAME="students"><H2> PhD Students </H2></A> <UL> <LI> <!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><!WA11><A HREF="http://www.cs.wisc.edu/~allex/allex.html"> Carolyn Allex</A> <LI> <!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><!WA12><A HREF="http://www.cs.wisc.edu/~cherkaue/cherkauer.html"> Kevin Cherkauer</A> <LI> <!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><!WA13><A HREF="http://www.cs.wisc.edu/~craven/craven.html"> Mark Craven</A> (graduated September 1996) <LI> <!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><!WA14><A HREF="http://www.cs.wisc.edu/~eliassi/eliassi.html"> Tina Eliassi-Rad</A> <LI> Eric Gutstein (graduated June 1993) <LI> <!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><!WA15><A HREF="http://www.cs.wisc.edu/~maclin/maclin.html"> Richard Maclin</A> (graduated August 1995) <LI> <!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><!WA16><A HREF="http://www.d.umn.edu/~opitz/"> David Opitz</A> (graduated August 1995) <LI> Geoffrey Towell (graduated October 1991) </UL><A NAME="pubs"><H2> Selected Recent Publications </H2></A>Click <!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><!WA17><A HREF="http://www.cs.wisc.edu/~shavlik/mlrg/publications.html">here</A> to see our recent titles and abstracts(you can also grab all our abstracts in one<!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><!WA18><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/abstracts">file</A> or <!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><!WA19><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group"> directly access</A>our ftp directory of postscript versions of recent papers.⌨️ 快捷键说明
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