Geoffrey G. Towell - researchr alias

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Viewing Publication 1 - 19 from 19

2000

Local Expert Autoassociators for Anomaly DetectionGeoffrey G. Towell. icml 2000: 1023-1030

Learning Priorities From Noisy ExamplesGeoffrey G. Towell, Thomas Petsche, Michael R. Miller. icml 2000: 1031-1038

1998

Disambiguating Highly Ambiguous WordsGeoffrey G. Towell, Ellen M. Voorhees. coling, 24(1):125-145, 1998.

1995

Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993Geoffrey G. Towell. ml, 18(1):115-119, 1995.

Using Unlabeled Data for Supervised LearningGeoffrey G. Towell. nips 1996: 647-653 [doi]

Learning Collection FUsion Strategies for Information RetrievalGeoffrey G. Towell, Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird. icml 1995: 540-548

1994

Knowledge-Based Artificial Neural NetworksGeoffrey G. Towell, Jude W. Shavlik. ai, 70(1-2):119-165, 1994.

1993

Corpus-Based Statistical Sense ResolutionClaudia Leacock, Geoffrey G. Towell, Ellen M. Voorhees. naacl 1993: [doi]

Extracting Refined Rules from Knowledge-Based Neural NetworksGeoffrey G. Towell, Jude W. Shavlik. ml, 13:71-101, 1993.

1992

A Knowledge-Based Model of Geometry LearningGeoffrey G. Towell, Richard Lehrer. nips 1993: 887-894 [doi]

Using Symbolic Learning to Improve Knowledge-Based Neural NetworksGeoffrey G. Towell, Jude W. Shavlik. AAAI 1992: 177-182

1991

Symbolic and Neural Learning Algorithms: An Experimental ComparisonJude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell. ml, 6:111-143, 1991.

Constructive Induction in Knowledge-Based Neural NetworksGeoffrey G. Towell, Mark Craven, Jude W. Shavlik. icml 1991: 213-217

Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into RulesGeoffrey G. Towell, Jude W. Shavlik. nips 1992: 977-984 [doi]

1990

Training Knowledge-Based Neural Networks to Recognize GenesMichiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik. nips 1991: 530-536 [doi]

Refinement ofApproximate Domain Theories by Knowledge-Based Neural NetworksGeoffrey G. Towell, Jude W. Shavlik, Michiel O. Noordewier. AAAI 1990: 861-866

1989

Processing Issues in Comparisons of Symbolic and Connectionist Learning SystemsDouglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell. icml 1989: 169-173

An Experimental Comparison of Symbolic and Connectionist Learning AlgorithmsRaymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove. IJCAI 1989: 775-780

Combining Explanation-Based Learning and Artificial Neural NetworksJude W. Shavlik, Geoffrey G. Towell. icml 1989: 90-93

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