Towell, Geoffrey G.

14 publications

ICML 2000 Learning Priorities from Noisy Examples Geoffrey G. Towell, Thomas Petsche, Michael R. Miller

ICML 2000 Local Expert Autoassociators for Anomaly Detection Geoffrey G. Towell

MLJ 1995 Book Review: Neural Network Perception for Mobile Robot Guidance by Dean a. Pomerleau. Kluwer Academic Publishers, 1993 Geoffrey G. Towell

ICML 1995 Learning Collection Fusion Strategies for Information Retrieval Geoffrey G. Towell, Ellen M. Voorhees, Narendra Kumar Gupta, Ben Johnson-Laird

NeurIPS 1995 Using Unlabeled Data for Supervised Learning Geoffrey G. Towell

MLJ 1993 Extracting Refined Rules from Knowledge-Based Neural Networks Geoffrey G. Towell, Jude W. Shavlik

AAAI 1992 Using Symbolic Learning to Improve Knowledge-Based Neural Networks Geoffrey G. Towell, Jude W. Shavlik

ICML 1991 Constructive Induction in Knowledge-Based Neural Networks Geoffrey G. Towell, Mark W. Craven, Jude W. Shavlik

MLJ 1991 Symbolic and Neural Learning Algorithms: An Experimental Comparison Jude W. Shavlik, Raymond J. Mooney, Geoffrey G. Towell

AAAI 1990 Refinement ofApproximate Domain Theories by Knowledge-Based Neural Networks Geoffrey G. Towell, Jude W. Shavlik, Michiel O. Noordewier

NeurIPS 1990 Training Knowledge-Based Neural Networks to Recognize Genes in DNA Sequences Michiel O. Noordewier, Geoffrey G. Towell, Jude W. Shavlik

IJCAI 1989 An Experimental Comparison of Symbolic and Connectionist Learning Algorithms Raymond J. Mooney, Jude W. Shavlik, Geoffrey G. Towell, Alan Gove

ICML 1989 Combining Explanation-Based Learning and Artificial Neural Networks Jude W. Shavlik, Geoffrey G. Towell

ICML 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