Capacity for Patterns and Sequences in Kanerva's SDM as Compared to Other Associative Memory Models. - James D. Keeler (NIPS, 1987)

Comparison Between Kanerva's SDM and Hopfield-Type Neural Networks. - James D. Keeler (Cogn. Sci., 1988)

Algorithms for Better Representation and Faster Learning in Radial Basis Function Networks. - Avijit Saha; James D. Keeler (NIPS, 1989)

Integrated Segmentation and Recognition of Hand-Printed Numerals. - James D. Keeler; David E. Rumelhart; Wee Kheng Leow (NIPS, 1990)

Comparison of Self-Organization and Optimization in Evolution and Neural Network Models. - Elgar Pichler; James D. Keeler; John Ross 002 (Complex Syst., 1990)

Layered Neural Networks with Gaussian Hidden Units as Universal Approximations. - Eric J. Hartman; James D. Keeler; Jacek M. Kowalski (Neural Comput., 1990)

An Optoelectronic Architecture for Multilayer Learning in a Single Photorefractive Crystal. - Carsten Peterson; Stephen Redfield; James D. Keeler; Eric Hartman (Neural Comput., 1990)

A Self-Organizing Integrated Segmentation and Recognition Neural Net. - James D. Keeler; David E. Rumelhart (NIPS, 1991)

Predicting the Future: Advantages of Semilocal Units. - Eric Hartman; James D. Keeler (Neural Comput., 1991)

Neural Network Based Model Predictive Control. - Stephen Piche; James D. Keeler; Greg Martin; Gene Boe; Doug Johnson; Mark Gerules (NIPS, 1999)