Jude Shavlik
Jude Shavlik
Professor of Computer Science and of Biostatistics & Medical Informatics, University of Wisconsin
Verified email at cs.wisc.edu - Homepage
TitleCited byYear
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
14702007
Extracting refined rules from knowledge-based neural networks
GG Towell, JW Shavlik
Machine learning 13 (1), 71-101, 1993
10101993
Knowledge-based artificial neural networks
GG Towell, JW Shavlik
Artificial intelligence 70 (1-2), 119-165, 1994
8661994
An empirical comparison of pattern recognition, neural nets and machine learning classification methods
SM Weiss, I Kapouleas, JW Shavlik
Readings in machine learning, 177-183, 1990
5861990
Refinement of approximate domain theories by knowledge-based neural networks
GG Towell, JW Shavlik, MO Noordewier
Proceedings of the eighth National conference on Artificial intelligence 861866, 1990
5701990
Extracting tree-structured representations of trained networks
MW Craven, JW Shavlik
Advances in neural information processing systems, 24-30, 1996
4881996
Symbolic and neural learning algorithms: An experimental comparison
JW Shavlik, RJ Mooney, GG Towell
Machine learning 6 (2), 111-143, 1991
4501991
Readings in machine learning
JW Shavlik, T Dietterich, TG Dietterich
Morgan Kaufmann, 1990
4291990
A 14nm logic technology featuring 2nd-generation FinFET, air-gapped interconnects, self-aligned double patterning and a 0.0588 µm2SRAM cell size
S Natarajan, M Agostinelli, S Akbar, M Bost, A Bowonder, V Chikarmane, ...
2014 IEEE International Electron Devices Meeting, 3.7. 1-3.7. 3, 2014
4122014
Actively searching for an effective neural network ensemble
DW Opitz, JW Shavlik
Connection Science 8 (3-4), 337-354, 1996
3791996
Transfer learning
L Torrey, J Shavlik
Handbook of research on machine learning applications and trends: algorithms …, 2010
3602010
Generating accurate and diverse members of a neural-network ensemble
DW Opitz, JW Shavlik
Advances in neural information processing systems, 535-541, 1996
3511996
Using neural networks for data mining
MW Craven, JW Shavlik
Future generation computer systems 13 (2-3), 211-229, 1997
3461997
Using sampling and queries to extract rules from trained neural networks, in machine learning
MW Craven, JW Shavlik
Proceedings of the Eleventh International Conference on Machine Learning, 73-80, 1994
346*1994
Using sampling and queries to extract rules from trained neural networks
MW Craven, JW Shavlik
Proceedings of the 11th International Conference on Machine Learning, 37-45, 1994
3461994
Tuffy: Scaling up statistical inference in markov logic networks using an rdbms
F Niu, C Ré, AH Doan, J Shavlik
Proceedings of the VLDB Endowment 4 (6), 373-384, 2011
2562011
Learning users' interests by unobtrusively observing their normal behavior
J Goecks, J Shavlik
Proceedings of the 5th international conference on Intelligent user …, 2000
2542000
Extracting comprehensible models from trained neural networks
MW Craven
University of Wisconsin-Madison Department of Computer Sciences, 1996
2521996
1 markov logic: A unifying framework for statistical relational learning
P Domingos, M Richardson
Statistical Relational Learning, 339, 2007
2502007
Creating advice-taking reinforcement learners
R Maclin, JW Shavlik
Machine Learning 22 (1), 251-281, 1996
2241996
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