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George L. Rudolph
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2010 – 2019
- 2016
- [j7]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): 38-53 (2016) - 2015
- [j6]George L. Rudolph, Tony R. Martinez:
Finding the Real Differences Between Learning Algorithms. Int. J. Artif. Intell. Tools 24(3): 1550001:1-1550001:20 (2015) - 2012
- [j5]Spencer K. White, Tony R. Martinez, George L. Rudolph:
Automatic Algorithm Development Using New Reinforcement Programming Techniques. Comput. Intell. 28(2): 176-208 (2012) - 2011
- [c6]Adam H. Peterson, Tony R. Martinez, George L. Rudolph:
On the structure of algorithm spaces. IJCNN 2011: 658-665 - 2010
- [c5]George L. Rudolph, Shankar M. Banik, William B. Gilbert:
AD-NEMO: adaptive dynamic network expansion with mobile robots. ACM Southeast Regional Conference 2010: 19 - [c4]Spencer K. White, Tony R. Martinez, George L. Rudolph:
Generating three binary addition algorithms using reinforcement programming. ACM Southeast Regional Conference 2010: 46 - [c3]Spencer K. White, Tony R. Martinez, George L. Rudolph:
Generating a novel sort algorithm using Reinforcement Programming. IEEE Congress on Evolutionary Computation 2010: 1-8
1990 – 1999
- 1997
- [j4]George L. Rudolph, Tony R. Martinez:
A transformation strategy for implementing distributed, multilayer feedforward neural networks: Backpropagation transformation. Future Gener. Comput. Syst. 12(6): 547-564 (1997) - 1996
- [j3]George L. Rudolph, Tony R. Martinez:
LIA: A Location-Independent Transformation for ASOCS Adaptive Algorithm 2. Int. J. Neural Syst. 7(5): 639-654 (1996) - 1995
- [j2]George L. Rudolph, Tony R. Martinez:
A transformation for implementing localist neural networks. Neural Parallel Sci. Comput. 3(2): 173-187 (1995) - [c2]George L. Rudolph, Tony R. Martinez:
A Transformation for Implementing Efficient Dynamic Backpropagation Neural Networks. ICANNGA 1995: 41-44 - 1994
- [j1]George L. Rudolph, Tony R. Martinez:
Location-Independent Transformations: a General Strategy for Implementing Neural Networks. Int. J. Artif. Intell. Tools 3(3): 417-428 (1994) - [c1]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: 373-376
Coauthor Index
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