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

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

<LI> <B> J. W. Shavlik (1996). </B>
<!WA53><!WA53><!WA53><!WA53><!WA53><!WA53><!WA53><!WA53><!WA53><img alg="o" src="http://www.cs.wisc.edu/~shavlik/mlrg/new.gif">
<BR>
<!WA54><!WA54><!WA54><!WA54><!WA54><!WA54><!WA54><!WA54><!WA54><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/shavlik.icnn96.ps">  An Overview of Research at Wisconsin on Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the International Conference on Neural Networks</CITE>, pp. 65-69, Washington, DC.
<BR>
<!WA55><!WA55><!WA55><!WA55><!WA55><!WA55><!WA55><!WA55><!WA55><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/shavlik.icnn96.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1995). </B>
<BR>
<!WA56><!WA56><!WA56><!WA56><!WA56><!WA56><!WA56><!WA56><!WA56><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.ijcai95.ps">  Combining the Predictions of Multiple Classifiers: Using Competitive Learning to Initialize Neural Networks</A>.
 <CITE> Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence</CITE>, pp. 524-530, Montreal, Canada.
<BR>
<!WA57><!WA57><!WA57><!WA57><!WA57><!WA57><!WA57><!WA57><!WA57><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.ijcai95.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven, R. J. Mural, L. J. Hauser & E. C. Uberbacher (1995). </B>
<BR>
<!WA58><!WA58><!WA58><!WA58><!WA58><!WA58><!WA58><!WA58><!WA58><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.ismb95.ps">  Predicting Protein Folding Classes without Overly Relying on Homology</A>.
 <CITE> Proceedings of the Third International Conference on Intelligent Systems for Molecular Biology</CITE>, pp. 98-106, Cambridge, England.  AAAI Press.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1994). </B>
<BR>
<!WA59><!WA59><!WA59><!WA59><!WA59><!WA59><!WA59><!WA59><!WA59><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.mlc94.ps">  Using Sampling and Queries to Extract Rules from Trained Neural Networks</A>.
 <CITE> Proceedings of the Eleventh International Conference on Machine Learning</CITE>, pp. 37-45, New Brunswick, NJ.
<BR>
<!WA60><!WA60><!WA60><!WA60><!WA60><!WA60><!WA60><!WA60><!WA60><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.mlc94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1994). </B>
<BR>
<!WA61><!WA61><!WA61><!WA61><!WA61><!WA61><!WA61><!WA61><!WA61><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.aaai94.ps">  Incorporating Advice into Agents that Learn from Reinforcements</A>.
 <CITE> Proceedings of the Twelfth National Conference on Artificial Intelligence</CITE>, pp. 694-699, Seattle, WA.
<BR>
<!WA62><!WA62><!WA62><!WA62><!WA62><!WA62><!WA62><!WA62><!WA62><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.aaai94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz & J. W. Shavlik (1994). </B>
<BR>
<!WA63><!WA63><!WA63><!WA63><!WA63><!WA63><!WA63><!WA63><!WA63><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.mlc94.ps">  Using Genetic Search to Refine Knowledge-Based Neural Networks</A>.
 <CITE> Machine Learning: Proceedings of the Eleventh International Conference</CITE>, pp. 208-216, New Brunswick, NJ.  Morgan Kaufmann.
<BR>
<!WA64><!WA64><!WA64><!WA64><!WA64><!WA64><!WA64><!WA64><!WA64><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.mlc94.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1993). </B>
<BR>
<!WA65><!WA65><!WA65><!WA65><!WA65><!WA65><!WA65><!WA65><!WA65><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.hicss93.ps">  Learning to Predict Reading Frames in E . coli DNA Sequences</A>.
 <CITE> Proceedings of the 26th Hawaii International Conference on System Sciences</CITE>, pp. 773-782, Wailea, HI.  IEEE Computer Society Press.
<BR>
<!WA66><!WA66><!WA66><!WA66><!WA66><!WA66><!WA66><!WA66><!WA66><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.hicss93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1993). </B>
<BR>
<!WA67><!WA67><!WA67><!WA67><!WA67><!WA67><!WA67><!WA67><!WA67><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.ijcai93.ps">  Learning to Represent Codons: A Challenge Problem for Constructive Induction</A>.
 <CITE> Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence</CITE>, pp. 1319-1324, Chambery, France.
<BR>
<!WA68><!WA68><!WA68><!WA68><!WA68><!WA68><!WA68><!WA68><!WA68><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.ijcai93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1993). </B>
<BR>
<!WA69><!WA69><!WA69><!WA69><!WA69><!WA69><!WA69><!WA69><!WA69><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.mlc93.ps">  Learning Symbolic Rules Using Artificial Neural Networks</A>.
 <CITE> Proceedings of the Tenth International Conference on Machine Learning</CITE>, pp. 73-80, Amherst, MA.  Morgan Kaufmann.
<BR>
<!WA70><!WA70><!WA70><!WA70><!WA70><!WA70><!WA70><!WA70><!WA70><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/craven.mlc93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> K. J. Cherkauer & J. W. Shavlik (1993). </B>
<BR>
<!WA71><!WA71><!WA71><!WA71><!WA71><!WA71><!WA71><!WA71><!WA71><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.ismb93.ps">  Protein Structure Prediction: Selecting Salient Features From Large Candidate Pools</A>.
 <CITE> Proceedings of the First International Conference on Intelligent Systems for Molecular Biology</CITE>, pp. 74-82, Bethesda, MD.  AAAI Press.
<BR>
<!WA72><!WA72><!WA72><!WA72><!WA72><!WA72><!WA72><!WA72><!WA72><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.ismb93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> D. W. Opitz & J. W. Shavlik (1993). </B>
<BR>
<!WA73><!WA73><!WA73><!WA73><!WA73><!WA73><!WA73><!WA73><!WA73><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.ijcai93.ps">  Heuristically Expanding Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence</CITE>, pp. 1360-1365, Chambery, France.
<BR>
<!WA74><!WA74><!WA74><!WA74><!WA74><!WA74><!WA74><!WA74><!WA74><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/opitz.ijcai93.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell & J. W.Shavlik (1992). </B>
<BR>
<!WA75><!WA75><!WA75><!WA75><!WA75><!WA75><!WA75><!WA75><!WA75><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.aaai92.ps">  Using Symbolic Learning to Improve Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the Tenth National Conference on Artificial Intelligence</CITE>, pp. 177-182, San Jose, CA.
<BR>
<!WA76><!WA76><!WA76><!WA76><!WA76><!WA76><!WA76><!WA76><!WA76><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.aaai92.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. M. Scott, J. W. Shavlik & W. H. Ray (1992). </B>
<BR>
<!WA77><!WA77><!WA77><!WA77><!WA77><!WA77><!WA77><!WA77><!WA77><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/scott.nips4.ps">  Refining PID Controllers using Neural Networks</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, pp. 555-562, Denver, CO.  Morgan Kaufmann.
<BR>
<!WA78><!WA78><!WA78><!WA78><!WA78><!WA78><!WA78><!WA78><!WA78><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/scott.nips4.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell & J. W. Shavlik (1992). </B>
<BR>
<!WA79><!WA79><!WA79><!WA79><!WA79><!WA79><!WA79><!WA79><!WA79><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.nips4.ps">  Interpretation of Artificial Neural Networks: Mapping knowledge-based Neural Networks into Rules</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, pp. 977-984, Denver, CO.  Morgan Kaufmann.
<BR>
<!WA80><!WA80><!WA80><!WA80><!WA80><!WA80><!WA80><!WA80><!WA80><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.nips4.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1992). </B>
<BR>
<!WA81><!WA81><!WA81><!WA81><!WA81><!WA81><!WA81><!WA81><!WA81><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.aaai92.ps">  Using Knowledge-Based Neural Networks to Improve Algorithms: Refining the Chou-Fasman Algorithm for Protein Folding</A>.
 <CITE> Proceedings of the Tenth National Conference on Artificial Intelligence</CITE>, pp. 165-170, San Jose, CA.
<BR>
<!WA82><!WA82><!WA82><!WA82><!WA82><!WA82><!WA82><!WA82><!WA82><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/maclin.aaai92.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> M. O. Noordewier, G. G. Towell & J. W. Shavlik (1991). </B>
<BR>
<!WA83><!WA83><!WA83><!WA83><!WA83><!WA83><!WA83><!WA83><!WA83><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/noordewier.nips3.ps">  Training Knowledge-Based Neural Networks to Recognize Genes in DNA Sequences</A>.
 <CITE> Advances in Neural Information Processing Systems</CITE>, pp. 530-536, Denver, CO.  Morgan Kaufmann.
<BR>
<!WA84><!WA84><!WA84><!WA84><!WA84><!WA84><!WA84><!WA84><!WA84><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/noordewier.nips3.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell, J. W. Shavlik & M. O. Noordewier (1990). </B>
<BR>
<!WA85><!WA85><!WA85><!WA85><!WA85><!WA85><!WA85><!WA85><!WA85><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.aaai90.ps">  Refinement of Approximate Domain Theories by Knowledge-Based Neural Networks</A>.
 <CITE> Proceedings of the Eighth National Conference on Artificial Intelligence</CITE>, pp. 861-866, Boston, MA.
<BR>
<!WA86><!WA86><!WA86><!WA86><!WA86><!WA86><!WA86><!WA86><!WA86><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/towell.aaai90.ps.abstract.html">  Abstract</A>.
<P>

</UL>
<HR>

<H2> <A NAME="incollection"> Book Chapters </A> </H2>
<P>
<UL>
<LI> <B> D. W. Opitz & J. W. Shavlik (1995). </B>
<BR>
<!WA87><!WA87><!WA87><!WA87><!WA87><!WA87><!WA87><!WA87><!WA87><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/opitz.clnl95.ps">  Using Heuristic Search to Expand Knowledge-Based Neural Networks</A>.
 In T. Petsche, S. Hanson & J. Shavlik, editors, <CITE> Computational Learning Theory and Natural Learning Systems, Volume III</CITE>.  MIT Press.
<P>

<LI> <B> M. W. Craven & J. W. Shavlik (1995). </B>
<BR>
<!WA88><!WA88><!WA88><!WA88><!WA88><!WA88><!WA88><!WA88><!WA88><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/craven.mlrgwp92.ps">  Investigating the Value of a Good Input Representation</A>.
 In T. Petsche, S. Hanson & J. Shavlik, editors, <CITE> Computational Learning Theory and Natural Learning Systems, Volume III</CITE>.  MIT Press.
<P>

<LI> <B> R. Maclin & J. W. Shavlik (1994). </B>
<BR>
<!WA89><!WA89><!WA89><!WA89><!WA89><!WA89><!WA89><!WA89><!WA89><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/maclin.mlrgwp91.ps">  Refining Algorithms with Knowledge-Based Neural Networks: Improving the Chou-Fasman Algorithm for Protein Folding</A>.
 In S. Hanson, G. Drastal & R. Rivest, editors, <CITE> Computational Learning Theory and Natural Learning Systems, Volume I</CITE>.  MIT Press.
<P>

<LI> <B> K. J. Cherkauer & J. W. Shavlik (1994). </B>
<BR>
<!WA90><!WA90><!WA90><!WA90><!WA90><!WA90><!WA90><!WA90><!WA90><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/cherkauer.mpai.ps">  Selecting Salient Features for Machine Learning from Large Candidate Pools through Parallel Decision-Tree Construction</A>.
 In H. Kitano, editor, <CITE> Massively Parallel Artificial Intelligence</CITE>.  AAAI Press/The MIT Press, Menlo Park, CA.

<!WA91><!WA91><!WA91><!WA91><!WA91><!WA91><!WA91><!WA91><!WA91><A HREF="http://www.cs.wisc.edu/~shavlik/abstracts/cherkauer.mpai.ps.abstract.html">  Abstract</A>.
<P>

<LI> <B> G. G. Towell & J. W. Shavlik (1993). </B>
<BR>
<!WA92><!WA92><!WA92><!WA92><!WA92><!WA92><!WA92><!WA92><!WA92><A HREF="ftp://ftp.cs.wisc.edu/machine-learning/shavlik-group/towell.ml4.ps">  Refining Symbolic Knowledge Using Neural Networks</A>.
 In R. S. Michalski & G. Tecuci, editors, <CITE> Machine Learning: An Integrated Approach</CITE>.  Morgan Kaufmann, San Mateo, CA.
<P>

</UL>
<HR>