Geoffrey G. Towell

According to our database, Geoffrey G. Towell authored at least 19 papers between 1989 and 2000.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2000

Learning Priorities From Noisy Examples.

Geoffrey G. Towell, Thomas Petsche, Michael R. Miller

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

Local Expert Autoassociators for Anomaly Detection.

Geoffrey G. Towell

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998

Disambiguating Highly Ambiguous Words.

Geoffrey G. Towell, Ellen M. Voorhees

Comput. Linguistics, 1998

1995

Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993.

Geoffrey G. Towell

Mach. Learn., 1995

Using Unlabeled Data for Supervised Learning.

Geoffrey G. Towell

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Learning Collection Fusion Strategies for Information Retrieval.

Geoffrey G. Towell, Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird

Proceedings of the Machine Learning, 1995

1994

Knowledge-Based Artificial Neural Networks.

Geoffrey G. Towell, Jude W. Shavlik

Artif. Intell., 1994

1993

Extracting Refined Rules from Knowledge-Based Neural Networks.

Geoffrey G. Towell, Jude W. Shavlik

Mach. Learn., 1993

Corpus-Based Statistical Sense Resolution.

Claudia Leacock, Geoffrey G. Towell, Ellen M. Voorhees

Proceedings of the Human Language Technology: Proceedings of a Workshop Held at Plainsboro, 1993

1992

A Knowledge-Based Model of Geometry Learning.

Geoffrey G. Towell, Richard Lehrer

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Using Symbolic Learning to Improve Knowledge-Based Neural Networks.

Geoffrey G. Towell, Jude W. Shavlik

Proceedings of the 10th National Conference on Artificial Intelligence, 1992

1991

Symbolic and Neural Learning Algorithms: An Experimental Comparison.

Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell

Mach. Learn., 1991

Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules.

Geoffrey G. Towell, Jude W. Shavlik

Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Constructive Induction in Knowledge-Based Neural Networks.

Geoffrey G. Towell, Mark W. Craven, Jude W. Shavlik

Proceedings of the Eighth International Workshop (ML91), 1991

1990

Training Knowledge-Based Neural Networks to Recognize Genes.

Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik

Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks.

Geoffrey G. Towell, Jude W. Shavlik, Michiel O. Noordewier

Proceedings of the 8th National Conference on Artificial Intelligence. Boston, Massachusetts, USA, July 29, 1990

1989

An Experimental Comparison of Symbolic and Connectionist Learning Algorithms.

Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove

Proceedings of the 11th International Joint Conference on Artificial Intelligence. Detroit, 1989

Combining Explanation-Based Learning and Artificial Neural Networks.

Jude W. Shavlik, Geoffrey G. Towell

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989

Processing Issues in Comparisons of Symbolic and Connectionist Learning Systems.

Douglas H. Fisher, Kathleen B. McKusick, Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell

Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989