G. Towell

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Re nement of Approximate Domain Theories byKnowledge-Based Neural Networks

J. Shavlik, G. Towell, O. Michiel, 1990 .

Extracting Reened Rules from Knowledge-based Neural Networks Keywords: Theory Reenement Integrated Learning Representational Shift Rule Extraction from Neural Networks

J. Shavlik, G. Towell, 1992 .

The Extraction of Reened Rules from Knowledge-based Neural Networks

J. Shavlik, G. Towell, 1993 .

An Experimental Comparison of Symbolic and Connectionist Learning Algorithms

Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, 1989, IJCAI.

Knowledge-Based Artificial Neural Networks

Jude W. Shavlik, Geoffrey G. Towell, J. Shavlik, 1994, Artif. Intell..

Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks

Jude Shavlik, Geoffrey G. Towell, Michiel O. Noordewier, 1990, AAAI.

An Approach to Combining Explanation-based and Neural Learning Algorithms

Jude Shavlik, Geoffrey G. Towell, J. Shavlik, 1989 .

Symbolic knowledge and neural networks: insertion, refinement and extraction

Geoffrey G. Towell, G. Towell, 1992 .

Extracting refined rules from knowledge-based neural networks

Jude W. Shavlik, Geoffrey G. Towell, J. Shavlik, 2004, Machine Learning.

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

Jude W. Shavlik, Geoffrey G. Towell, J. Shavlik, 1991, NIPS.

Find Kick Play An Innate Behavior for the Aibo Robot

G. Towell, B. Mawr, Ioana Butoi, 2022 .

Learning context to disambiguate word senses

Ellen M. Voorhees, Claudia Leacock, Geoffrey Towell, 1992 .

Using knowledge-based neural networks to refine roughly-correct information

Jude Shavlik, Geoffrey G. Towell, J. Shavlik, 1994, COLT 1994.

Using neural networks to refine existing biological knowledge

Jude Shavlik, Geoffrey G. Towell, Michiel O. Noordewier, 1992 .

Supervised learning using labeled and unlabeled examples

Geoffrey G. Towell, G. Towell, 1997, COLT 1997.

Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks

Jude W. Shavlik, Geoffrey G. Towell, Michiel O. Noordewier, 1990, AAAI.

Local Expert Autoassociators for Anomaly Detection

Geoffrey G. Towell, G. Towell, 2000, ICML.

THE EXTRACTION OF REFINED RULES FROM KNOWLEDGE BASED NEURAL NETWORKS

Jude Shavlik, Geoffrey G. Towell, J. Shavlik, 1993 .

Learning Priorities From Noisy Examples

Geoffrey G. Towell, Thomas Petsche, Michael R. Miller, 2000, ICML.

Symbolic and Neural Learning Algorithms: An Experimental Comparison

Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, 1991, Machine Learning.

Symbolic and neural learning algorithms: An experimental comparison

Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, 1991, Machine Learning.

Extracting Refined Rules from Knowledge-Based Neural Networks

Jude W. Shavlik, Geoffrey G. Towell, J. Shavlik, 1993, Machine Learning.

Using Unlabeled Data for Supervised Learning

Geoffrey G. Towell, G. Towell, 1995, NIPS.

Training Knowledge-Based Neural Networks to Recognize Genes

Jude W. Shavlik, Geoffrey G. Towell, Michiel O. Noordewier, 1990, NIPS.

Corpus-Based Statistical Sense Resolution

Ellen M. Voorhees, Claudia Leacock, Geoffrey G. Towell, 1993, HLT.

Data mining for improved cardiac care

R. Bharat Rao, Radu Stefan Niculescu, Sriram Krishnan, 2006, SKDD.

Disambiguating Highly Ambiguous Words

Ellen M. Voorhees, Geoffrey G. Towell, G. Towell, 1998, CL.

Book Review:Neural Network Perception For Mobile Robot Guidanceby Dean A. Pomerleau. Kluwer Academic Publishers, 1993

Geoffrey Towell, G. Towell, 2004, Machine Learning.

Neural network perception for mobile robot guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993

Geoffrey G. Towell, G. Towell, 2004, Machine Learning.

A patient-adaptive neural network ECG patient monitoring algorithm

Raymond L. Watrous, G. Towell, R. Watrous, 1995, Computers in Cardiology 1995.

Towards Building Contextual Representations of Word Senses Using Statistical Models

Ellen M. Voorhees, Claudia Leacock, Geoffrey Towell, 1996 .

Combining Explanation-Based Learning and Artificial Neural Networks

Jude W. Shavlik, Geoffrey G. Towell, J. Shavlik, 1989, ML.