| 2000 |
|---|
| 18 | | Geoffrey G. Towell:
Local Expert Autoassociators for Anomaly Detection.
ICML 2000: 1023-1030 |
| 17 | | Geoffrey G. Towell,
Thomas Petsche,
Michael R. Miller:
Learning Priorities From Noisy Examples.
ICML 2000: 1031-1038 |
| 1998 |
|---|
| 16 | | Geoffrey G. Towell,
Ellen M. Voorhees:
Disambiguating Highly Ambiguous Words.
Computational Linguistics 24(1): 125-145 (1998) |
| 1995 |
|---|
| 15 | | Geoffrey G. Towell,
Ellen M. Voorhees,
Narendra Kumar Gupta,
Ben Johnson-Laird:
Learning Collection FUsion Strategies for Information Retrieval.
ICML 1995: 540-548 |
| 14 | EE | Geoffrey G. Towell:
Using Unlabeled Data for Supervised Learning.
NIPS 1995: 647-653 |
| 13 | | Geoffrey G. Towell:
Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993.
Machine Learning 18(1): 115-119 (1995) |
| 1994 |
|---|
| 12 | | Geoffrey G. Towell,
Jude W. Shavlik:
Knowledge-Based Artificial Neural Networks.
Artif. Intell. 70(1-2): 119-165 (1994) |
| 1993 |
|---|
| 11 | | Geoffrey G. Towell,
Jude W. Shavlik:
Extracting Refined Rules from Knowledge-Based Neural Networks.
Machine Learning 13: 71-101 (1993) |
| 1992 |
|---|
| 10 | | Geoffrey G. Towell,
Jude W. Shavlik:
Using Symbolic Learning to Improve Knowledge-Based Neural Networks.
AAAI 1992: 177-182 |
| 9 | EE | Geoffrey G. Towell,
Richard Lehrer:
A Knowledge-Based Model of Geometry Learning.
NIPS 1992: 887-894 |
| 1991 |
|---|
| 8 | | Geoffrey G. Towell,
Mark Craven,
Jude W. Shavlik:
Constructive Induction in Knowledge-Based Neural Networks.
ML 1991: 213-217 |
| 7 | EE | Geoffrey G. Towell,
Jude W. Shavlik:
Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules.
NIPS 1991: 977-984 |
| 6 | | Jude W. Shavlik,
Raymond J. Mooney,
Geoffrey G. Towell:
Symbolic and Neural Learning Algorithms: An Experimental Comparison.
Machine Learning 6: 111-143 (1991) |
| 1990 |
|---|
| 5 | | Geoffrey G. Towell,
Jude W. Shavlik,
Michiel O. Noordewier:
Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks.
AAAI 1990: 861-866 |
| 4 | EE | Michiel O. Noordewier,
Geoffrey G. Towell,
Jude W. Shavlik:
Training Knowledge-Based Neural Networks to Recognize Genes.
NIPS 1990: 530-536 |
| 1989 |
|---|
| 3 | | Raymond J. Mooney,
Jude W. Shavlik,
Geoffrey G. Towell,
Alan Gove:
An Experimental Comparison of Symbolic and Connectionist Learning Algorithms.
IJCAI 1989: 775-780 |
| 2 | | 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 |
| 1 | | Jude W. Shavlik,
Geoffrey G. Towell:
Combining Explanation-Based Learning and Artificial Neural Networks.
ML 1989: 90-93 |
