| 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 | 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 | 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 | 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 | 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 | |
| 1 | Mark Craven | [8] |
| 2 | Douglas H. Fisher | [2] |
| 3 | Alan Gove | [3] |
| 4 | Narendra Kumar Gupta | [15] |
| 5 | Ben Johnson-Laird | [15] |
| 6 | Richard Lehrer | [9] |
| 7 | Kathleen B. McKusick | [2] |
| 8 | Michael R. Miller | [17] |
| 9 | Raymond J. Mooney | [2] [3] [6] |
| 10 | Michiel O. Noordewier | [4] [5] |
| 11 | Thomas Petsche | [17] |
| 12 | Jude W. Shavlik | [1] [2] [3] [4] [5] [6] [7] [8] [10] [11] [12] |
| 13 | Ellen M. Voorhees | [15] [16] |
Colors in the list of coauthors
Last update Fri May 25 01:42:58 2012 CET by the DBLP Team —
Data released under the ODC-BY 1.0 license — See also our legal information page