This page contains relevant information about publications by the members of the Machine Learning Research Group (MLRG) at the University of Wisconsin - Madison.
J. C. Jackson & M. W. Craven (1996). Learning Sparse Perceptrons.
Advances in Neural Information Processing Systems, pp. 654-662, Denver, CO. MIT Press.
Abstract.
M. W. Craven & J. W. Shavlik (1995). Investigating the Value of a Good Input Representation.
In T. Petsche, S. Hanson & J. Shavlik, editors, Computational Learning Theory and Natural Learning Systems, Volume III. MIT Press.
G. G. Towell & J. W. Shavlik (1993). Refining Symbolic Knowledge Using Neural Networks.
In R. S. Michalski & G. Tecuci, editors, Machine Learning: An Integrated Approach. Morgan Kaufmann, San Mateo, CA.
D. W. Opitz & J. W. Shavlik (1995). Generating Accurate and Diverse Members of a Neural-Network Ensemble.
Department of Computer Sciences, University of Wisconsin, Machine Learning Research Group Working Paper 95-2.
(A version of this paper appears in Advances in Neural Information Processing, vol. 8, 1996)
Abstract.
T. Eliassi-Rad (2001).
Building Intelligent Agents that Learn to Retrieve and Extract Information.
PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
(Also appears as UW Technical Report CS-TR-01-1431)
Abstract.
This publication is available in PDF and available in postscript.
M. W. Craven (1996).
Extracting Comprehensible Models from Trained Neural Networks.
PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
(Also appears as UW Technical Report CS-TR-96-1326)
Abstract.
R. Maclin (1995).
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.
(Also appears as UW Technical Report CS-TR-95-1285)
Abstract.
This publication is contained in the following 2 compressed postscript files File 1, File 2 and contained in the following 2 PDF files File 1, File 2.
Eric Gutstein (1993).
SIFT: A Self-Improving Fractions Tutor.
PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
G. G. Towell (1991).
Symbolic Knowledge and Neural Networks: Insertion, Refinement and Extraction.
PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison.
(Also appears as UW Technical Report 1072 [out of print].)
Abstract.
This publication is contained in the following 4 compressed postscript files File 1, File 2, File 3, File 4.
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