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Geoffrey G. Towell
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2000 – 2009
- 2000
- [c14]Geoffrey G. Towell:
Local Expert Autoassociators for Anomaly Detection. ICML 2000: 1023-1030 - [c13]Geoffrey G. Towell, Thomas Petsche, Michael R. Miller:
Learning Priorities From Noisy Examples. ICML 2000: 1031-1038
1990 – 1999
- 1998
- [j5]Geoffrey G. Towell, Ellen M. Voorhees:
Disambiguating Highly Ambiguous Words. Comput. Linguistics 24(1): 125-145 (1998) - 1995
- [j4]Geoffrey G. Towell:
Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993. Mach. Learn. 18(1): 115-119 (1995) - [c12]Geoffrey G. Towell, Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird:
Learning Collection Fusion Strategies for Information Retrieval. ICML 1995: 540-548 - [c11]Geoffrey G. Towell:
Using Unlabeled Data for Supervised Learning. NIPS 1995: 647-653 - 1994
- [j3]Geoffrey G. Towell, Jude W. Shavlik:
Knowledge-Based Artificial Neural Networks. Artif. Intell. 70(1-2): 119-165 (1994) - 1993
- [j2]Geoffrey G. Towell, Jude W. Shavlik:
Extracting Refined Rules from Knowledge-Based Neural Networks. Mach. Learn. 13: 71-101 (1993) - [c10]Claudia Leacock, Geoffrey G. Towell, Ellen M. Voorhees:
Corpus-Based Statistical Sense Resolution. HLT 1993 - 1992
- [c9]Geoffrey G. Towell, Jude W. Shavlik:
Using Symbolic Learning to Improve Knowledge-Based Neural Networks. AAAI 1992: 177-182 - [c8]Geoffrey G. Towell, Richard Lehrer:
A Knowledge-Based Model of Geometry Learning. NIPS 1992: 887-894 - 1991
- [j1]Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell:
Symbolic and Neural Learning Algorithms: An Experimental Comparison. Mach. Learn. 6: 111-143 (1991) - [c7]Geoffrey G. Towell, Mark W. Craven, Jude W. Shavlik:
Constructive Induction in Knowledge-Based Neural Networks. ML 1991: 213-217 - [c6]Geoffrey G. Towell, Jude W. Shavlik:
Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules. NIPS 1991: 977-984 - 1990
- [c5]Geoffrey G. Towell, Jude W. Shavlik, Michiel O. Noordewier:
Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks. AAAI 1990: 861-866 - [c4]Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik:
Training Knowledge-Based Neural Networks to Recognize Genes. NIPS 1990: 530-536
1980 – 1989
- 1989
- [c3]Jude W. Shavlik, Geoffrey G. Towell:
Combining Explanation-Based Learning and Artificial Neural Networks. ML 1989: 90-93 - [c2]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. ML 1989: 169-173 - [c1]Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove:
An Experimental Comparison of Symbolic and Connectionist Learning Algorithms. IJCAI 1989: 775-780
Coauthor Index
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