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 (ML, 1989)

Combining Explanation-Based Learning and Artificial Neural Networks. - Jude W. Shavlik; Geoffrey G. Towell (ML, 1989)

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

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

Training Knowledge-Based Neural Networks to Recognize Genes. - Michiel O. Noordewier; Geoffrey G. Towell; Jude W. Shavlik (NIPS, 1990)

Constructive Induction in Knowledge-Based Neural Networks. - Geoffrey G. Towell; Mark W. Craven; Jude W. Shavlik (ML, 1991)

Interpretation of Artificial Neural Networks: Mapping Knowledge-Based Neural Networks into Rules. - Geoffrey G. Towell; Jude W. Shavlik (NIPS, 1991)

Symbolic and Neural Learning Algorithms: An Experimental Comparison. - Jude W. Shavlik; Raymond J. Mooney; Geoffrey G. Towell (Mach. Learn., 1991)

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

A Knowledge-Based Model of Geometry Learning. - Geoffrey G. Towell; Richard Lehrer (NIPS, 1992)

Corpus-Based Statistical Sense Resolution. - Claudia Leacock; Geoffrey G. Towell; Ellen M. Voorhees (HLT, 1993)

Extracting Refined Rules from Knowledge-Based Neural Networks. - Geoffrey G. Towell; Jude W. Shavlik (Mach. Learn., 1993)

Knowledge-Based Artificial Neural Networks. - Geoffrey G. Towell; Jude W. Shavlik (Artif. Intell., 1994)

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

Using Unlabeled Data for Supervised Learning. - Geoffrey G. Towell (NIPS, 1995)

Book Review: Neural Network Perception for Mobile Robot Guidance by Dean A. Pomerleau. Kluwer Academic Publishers, 1993. - Geoffrey G. Towell (Mach. Learn., 1995)

Disambiguating Highly Ambiguous Words. - Geoffrey G. Towell; Ellen M. Voorhees (Comput. Linguistics, 1998)

Local Expert Autoassociators for Anomaly Detection. - Geoffrey G. Towell (ICML, 2000)

Learning Priorities From Noisy Examples. - Geoffrey G. Towell; Thomas Petsche; Michael R. Miller (ICML, 2000)