http:^^www.cs.wisc.edu^~shavlik^mlrg^publications.html

This data set contains WWW-pages collected from computer science departments of various universities

<H2> <A NAME="inworkshop"> Workshop Papers </A> </H2>
<P>
<UL>
<LI> <B> K.J. Cherkauer (1996). </B>
<!WA93><!WA93><!WA93><!WA93><!WA93><!WA93><!WA93><!WA93><!WA93><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA94><!WA94><!WA94><!WA94><!WA94><!WA94><!WA94><!WA94><!WA94><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.aaai-wkshp96.ps">  Human Expert-Level Performance on a Scientific Image Analysis Task by a System Using Combined Artificial Neural Networks</A>.
 <CITE> Working Notes, Integrating Multiple Learned Models for Improving and Scaling Machine Learning Algorithms Wkshp, 13th Nat Conf on Artificial Intelligence</CITE>, pp. 15-21, Portland, OR.

<!WA95><!WA95><!WA95><!WA95><!WA95><!WA95><!WA95><!WA95><!WA95><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.aaai-wkshp96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> K. J. Cherkauer & J. W. Shavlik (1995). </B>
<BR>
<!WA96><!WA96><!WA96><!WA96><!WA96><!WA96><!WA96><!WA96><!WA96><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.ijcai-wkshp95.ps">  Rapidly Estimating the Quality of Input Representations for Neural Networks</A>.
 <CITE> Working Notes of the IJCAI-95 Workshop on Data Engineering for Inductive Learning, Fourteenth International Joint Conference on Artificial Intelligence</CITE>, Montreal, Quebec, Canada.

<!WA97><!WA97><!WA97><!WA97><!WA97><!WA97><!WA97><!WA97><!WA97><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.ijcai-wkshp95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1995). </B>
<BR>
<!WA98><!WA98><!WA98><!WA98><!WA98><!WA98><!WA98><!WA98><!WA98><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.ijcai-wkshp95.ps">  Extracting Comprehensible Concept Representations from Trained Neural Networks</A>.
 <CITE> Presented at the IJCAI Workshop on Comprehensibility in Machine Learning</CITE>, Montreal, Quebec, Canada.

<!WA99><!WA99><!WA99><!WA99><!WA99><!WA99><!WA99><!WA99><!WA99><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.ijcai-wkshp95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz & J. W. Shavlik (1994). </B>
<BR>
<!WA100><!WA100><!WA100><!WA100><!WA100><!WA100><!WA100><!WA100><!WA100><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.isiknh94.ps">  Genetically Refining Topologies of Knowledge-Based Neural Networks</A>.
 <CITE> International Symposium on Integrating Knowledge and Neural Heuristics</CITE>, pp. 57-66, Pensacola, FL.

<!WA101><!WA101><!WA101><!WA101><!WA101><!WA101><!WA101><!WA101><!WA101><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.isiknh94.ps.abstract.html">  Abstract</A>.
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<LI> <B> J. W. Shavlik (1991). </B>
<BR>
<!WA102><!WA102><!WA102><!WA102><!WA102><!WA102><!WA102><!WA102><!WA102><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/shavlik.cbr91.ps">  Finding Genes by Case-Based Reasoning in the Presence of Noisy Case Boundaries</A>.
 <CITE> Proceedings of the DARPA Cased-Based Reasoning Workshop</CITE>, pp. 327-338.

<!WA103><!WA103><!WA103><!WA103><!WA103><!WA103><!WA103><!WA103><!WA103><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/shavlik.cbr91.ps.abstract.html">  Abstract</A>.
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<LI> <B> G. G. Towell, M. W. Craven & J. W. Shavlik (1991). </B>
<BR>
<!WA104><!WA104><!WA104><!WA104><!WA104><!WA104><!WA104><!WA104><!WA104><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.mlc91.ps">  Constructive Induction in Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the Eighth International Machine Learning Workshop</CITE>, pp. 213-217, Evanston, IL.

<!WA105><!WA105><!WA105><!WA105><!WA105><!WA105><!WA105><!WA105><!WA105><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.mlc91.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1991). </B>
<BR>
<!WA106><!WA106><!WA106><!WA106><!WA106><!WA106><!WA106><!WA106><!WA106><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.mlc91.ps">  Refining Domain Theories Expressed as Finite-State Automata</A>.
 <CITE> Proceedings of the Eighth International Machine Learning Workshop</CITE>, pp. 524-528, Evanston, IL.

<!WA107><!WA107><!WA107><!WA107><!WA107><!WA107><!WA107><!WA107><!WA107><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.mlc91.ps.abstract.html">  Abstract</A>.
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</UL>
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<H2> <A NAME="techreport"> Tech Reports (not published elsewhere) </A> </H2>
<P>
<UL>
<LI> <B> D. W. Opitz & J. W. Shavlik (1995). </B>
<BR>
<!WA108><!WA108><!WA108><!WA108><!WA108><!WA108><!WA108><!WA108><!WA108><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.mlrgwp95.ps">  Generating Accurate and Diverse Members of a Neural-Network Ensemble</A>.
 Department of Computer Sciences, University of Wisconsin, Machine Learning Research Group Working Paper 95-2.
<BR>
(A version of this paper appears in Advances in Neural Information Processing, vol. 8, 1996)

<!WA109><!WA109><!WA109><!WA109><!WA109><!WA109><!WA109><!WA109><!WA109><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.mlrgwp95.ps.abstract.html">  Abstract</A>.
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<LI> <B> R. Maclin & J. W. Shavlik (1994). </B>
<BR>
<!WA110><!WA110><!WA110><!WA110><!WA110><!WA110><!WA110><!WA110><!WA110><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.tr94.ps">  Incorporating Advice into Agents that Learn from Reinforcements</A>.
 Department of Computer Sciences, University of Wisconsin, UW TR 1227.
<BR>
(A shorter version appears in AAAI-94.)

<!WA111><!WA111><!WA111><!WA111><!WA111><!WA111><!WA111><!WA111><!WA111><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.tr94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> E. Gutstein (1992). </B>
<BR>
<!WA112><!WA112><!WA112><!WA112><!WA112><!WA112><!WA112><!WA112><!WA112><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/gutstein.mlrgwp92.ps">  Learning from Students to Improve an Intelligent Tutoring System</A>.
 Department of Computer Sciences, University of Wisconsin, Machine Learning Research Group Working Paper 92-3.
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</UL>
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<H2> <A NAME="phdthesis"> PhD Theses </A> </H2>
<P>
<UL>
<LI> <B> M. W. Craven (1996). </B>
<!WA113><!WA113><!WA113><!WA113><!WA113><!WA113><!WA113><!WA113><!WA113><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA114><!WA114><!WA114><!WA114><!WA114><!WA114><!WA114><!WA114><!WA114><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.thesis.ps">  Extracting Comprehensible Models from Trained Neural Networks</A>.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<BR>
(Also appears as UW Technical Report CS-TR-96-1326)

<!WA115><!WA115><!WA115><!WA115><!WA115><!WA115><!WA115><!WA115><!WA115><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.thesis.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz (1995). </B>
<BR>
<!WA116><!WA116><!WA116><!WA116><!WA116><!WA116><!WA116><!WA116><!WA116><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.thesis.ps">  An Anytime Approach to Connectionist Theory Refinement: Refining the Topologies of Knowledge-Based Neural Networks</A>.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<BR>
(Also appears as UW Technical Report CS-TR-95-1281)

<!WA117><!WA117><!WA117><!WA117><!WA117><!WA117><!WA117><!WA117><!WA117><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.thesis.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin (1995). </B>
<BR>
Learning from Instruction and Experience: Methods for Incorporating Procedural Domain Theories into Knowledge-Based Neural Networks.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<BR>
(Also appears as UW Technical Report CS-TR-95-1285)

<!WA118><!WA118><!WA118><!WA118><!WA118><!WA118><!WA118><!WA118><!WA118><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.thesis.firsthalf.ps.abstract.html">  Abstract</A>.
<BR><BR>
(This publication is contained in several postscript files.)
<BR>
<!WA119><!WA119><!WA119><!WA119><!WA119><!WA119><!WA119><!WA119><!WA119><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.thesis.firsthalf.ps">  part 1 </A>
<BR>
<!WA120><!WA120><!WA120><!WA120><!WA120><!WA120><!WA120><!WA120><!WA120><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.thesis.secondhalf.ps">  part 2 </A>
<BR>
<P>

<LI> <B> Eric Gutstein (1993). </B>
<BR>
SIFT: A Self-Improving Fractions Tutor.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<P>

<LI> <B> G. G. Towell (1991). </B>
<BR>
Symbolic Knowledge and Neural Networks: Insertion, Refinement and Extraction.
 PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
<BR>
(Also appears as UW Technical Report 1072 [out of print].)

<!WA121><!WA121><!WA121><!WA121><!WA121><!WA121><!WA121><!WA121><!WA121><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.thesis.1-2.ps.abstract.html">  Abstract</A>.
<BR><BR>
(This publication is contained in several postscript files.)
<BR>
<!WA122><!WA122><!WA122><!WA122><!WA122><!WA122><!WA122><!WA122><!WA122><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.thesis.1-2.ps">  part 1 </A>
<BR>
<!WA123><!WA123><!WA123><!WA123><!WA123><!WA123><!WA123><!WA123><!WA123><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.thesis.3.ps">  part 2 </A>
<BR>
<!WA124><!WA124><!WA124><!WA124><!WA124><!WA124><!WA124><!WA124><!WA124><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.thesis.4-7.ps">  part 3 </A>
<BR>
<!WA125><!WA125><!WA125><!WA125><!WA125><!WA125><!WA125><!WA125><!WA125><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.thesis.app.ps">  part 4 </A>
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</UL>
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<!WA126><!WA126><!WA126><!WA126><!WA126><!WA126><!WA126><!WA126><!WA126><A HREF="http://www.cs.wisc.edu/~shavlik/uwml.html">
<!WA127><!WA127><!WA127><!WA127><!WA127><!WA127><!WA127><!WA127><!WA127><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/return.gif"> </A>
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