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Geoffrey G. Towell: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]
Publications of Author
- Geoffrey G. Towell, Jude W. Shavlik, Michiel O. Noordewier
Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks. [Citation Graph (1, 0)][DBLP]
AAAI, 1990, pp:861-866 [Conf] - Geoffrey G. Towell, Mark Craven, Jude W. Shavlik
Constructive Induction in Knowledge-Based Neural Networks. [Citation Graph (1, 0)][DBLP]
ML, 1991, pp:213-217 [Conf] - Geoffrey G. Towell, Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird
Learning Collection FUsion Strategies for Information Retrieval. [Citation Graph (1, 0)][DBLP]
ICML, 1995, pp:540-548 [Conf] - Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell
Symbolic and Neural Learning Algorithms: An Experimental Comparison. [Citation Graph (1, 0)][DBLP]
Machine Learning, 1991, v:6, n:, pp:111-143 [Journal] - Geoffrey G. Towell, Jude W. Shavlik
Using Symbolic Learning to Improve Knowledge-Based Neural Networks. [Citation Graph (0, 0)][DBLP]
AAAI, 1992, pp:177-182 [Conf] - Douglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell
Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems. [Citation Graph (0, 0)][DBLP]
ML, 1989, pp:169-173 [Conf] - Jude W. Shavlik, Geoffrey G. Towell
Combining Explanation-Based Learning and Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
ML, 1989, pp:90-93 [Conf] - Geoffrey G. Towell
Local Expert Autoassociators for Anomaly Detection. [Citation Graph (0, 0)][DBLP]
ICML, 2000, pp:1023-1030 [Conf] - Geoffrey G. Towell, Thomas Petsche, Michael R. Miller
Learning Priorities From Noisy Examples. [Citation Graph (0, 0)][DBLP]
ICML, 2000, pp:1031-1038 [Conf] - Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove
An Experimental Comparison of Symbolic and Connectionist Learning Algorithms. [Citation Graph (0, 0)][DBLP]
IJCAI, 1989, pp:775-780 [Conf] - Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik
Training Knowledge-Based Neural Networks to Recognize Genes. [Citation Graph (0, 0)][DBLP]
NIPS, 1990, pp:530-536 [Conf] - Geoffrey G. Towell
Using Unlabeled Data for Supervised Learning. [Citation Graph (0, 0)][DBLP]
NIPS, 1995, pp:647-653 [Conf] - Geoffrey G. Towell, Richard Lehrer
A Knowledge-Based Model of Geometry Learning. [Citation Graph (0, 0)][DBLP]
NIPS, 1992, pp:887-894 [Conf] - Geoffrey G. Towell, Jude W. Shavlik
Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules. [Citation Graph (0, 0)][DBLP]
NIPS, 1991, pp:977-984 [Conf] - Geoffrey G. Towell, Jude W. Shavlik
Knowledge-Based Artificial Neural Networks. [Citation Graph (0, 0)][DBLP]
Artif. Intell., 1994, v:70, n:1-2, pp:119-165 [Journal] - Geoffrey G. Towell, Ellen M. Voorhees
Disambiguating Highly Ambiguous Words. [Citation Graph (0, 0)][DBLP]
Computational Linguistics, 1998, v:24, n:1, pp:125-145 [Journal] - Geoffrey G. Towell
Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993. [Citation Graph (0, 0)][DBLP]
Machine Learning, 1995, v:18, n:1, pp:115-119 [Journal] - Geoffrey G. Towell, Jude W. Shavlik
Extracting Refined Rules from Knowledge-Based Neural Networks. [Citation Graph (0, 0)][DBLP]
Machine Learning, 1993, v:13, n:, pp:71-101 [Journal]
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