George L. Rudolph

Publication Activity (10 Years)

Years Active: 1994-2016
Publications (10 Years): 2

Top Topics

Intensity Values

Learning Algorithm

Top Venues

Comput. Intell.

AKCE Int. J. Graphs Comb.

Int. J. Artif. Intell. Tools

Publications

Breeanne Baker Swart, Rigoberto Flórez, Darren A. Narayan, George L. Rudolph
Extrema property of the k-ranking of directed paths and cycles. AKCE Int. J. Graphs Comb. 13 (1) (2016)
George L. Rudolph, Tony R. Martinez
Finding the Real Differences Between Learning Algorithms. Int. J. Artif. Intell. Tools 24 (3) (2015)
Spencer K. White, Tony R. Martinez, George L. Rudolph
Automatic Algorithm Development Using New Reinforcement Programming Techniques. Comput. Intell. 28 (2) (2012)
Adam H. Peterson, Tony R. Martinez, George L. Rudolph
On the structure of algorithm spaces. IJCNN (2011)
George L. Rudolph, Shankar M. Banik, William B. Gilbert
AD-NEMO: adaptive dynamic network expansion with mobile robots. ACM Southeast Regional Conference (2010)
Spencer K. White, Tony R. Martinez, George L. Rudolph
Generating three binary addition algorithms using reinforcement programming. ACM Southeast Regional Conference (2010)
Spencer K. White, Tony R. Martinez, George L. Rudolph
Generating a novel sort algorithm using Reinforcement Programming. IEEE Congress on Evolutionary Computation (2010)
George L. Rudolph, Tony R. Martinez
A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation. Future Gener. Comput. Syst. 12 (6) (1997)
George L. Rudolph, Tony R. Martinez
LIA: A Location-Independent Transformation for ASOCS Adaptive Algorithm 2. Int. J. Neural Syst. 7 (5) (1996)
George L. Rudolph, Tony R. Martinez
A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks. ICANNGA (1995)
George L. Rudolph, Tony R. Martinez
A transformation for implementing localist neural networks. Neural Parallel Sci. Comput. 3 (2) (1995)
George L. Rudolph, Tony R. Martinez
Location-Independent Transformations: a General Strategy for Implementing Neural Networks. Int. J. Artif. Intell. Tools 3 (3) (1994)
Matthew G. Stout, Linton G. Salmon, George L. Rudolph, Tony R. Martinez
A VLSI implementation of a parallel, self-organizing learning model. ICPR (3) (1994)