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Tony R. Martinez
- > Home > Persons > Tony R. Martinez
Publications
- 2009
- [j31]Joshua E. Menke, Tony R. Martinez:
Artificial neural network reduction through oracle learning. Intell. Data Anal. 13(1): 135-149 (2009) - [j29]Joshua E. Menke, Tony R. Martinez:
Improving Supervised Learning by Adapting the Problem to the Learner. Int. J. Neural Syst. 19(1): 1-9 (2009) - 2008
- [j28]Joshua E. Menke, Tony R. Martinez:
A Bradley-Terry artificial neural network model for individual ratings in group competitions. Neural Comput. Appl. 17(2): 175-186 (2008) - 2006
- [j26]Michael Rimer, Tony R. Martinez:
Classification-based objective functions. Mach. Learn. 63(2): 183-205 (2006) - [j25]Michael Rimer, Tony R. Martinez:
CB3: An Adaptive Error Function for Backpropagation Training. Neural Process. Lett. 24(1): 81-92 (2006) - 2005
- [c26]Joshua E. Menke, Tony R. Martinez:
Domain expert approximation through oracle learning. ESANN 2005: 205-210 - 2004
- [j24]Brent D. Morring, Tony R. Martinez:
Weighted Instance Typicality Search (WITS): A nearest neighbor data reduction algorithm. Intell. Data Anal. 8(1): 61-78 (2004) - 2002
- [j22]Ernest Istook, Tony R. Martinez:
Improved Backpropagation Learning in Neural Networks with Windowed Momentum. Int. J. Neural Syst. 12(3-4): 303-318 (2002) - 2001
- [j21]Xinchuan Zeng, Tony R. Martinez:
An algorithm for correcting mislabeled data. Intell. Data Anal. 5(6): 491-502 (2001) - [j20]Timothy L. Andersen, Tony R. Martinez:
DMP3: A Dynamic Multilayer Perceptron Construction Algorithm. Int. J. Neural Syst. 11(2): 145-165 (2001) - 2000
- [j17]Xinchuan Zeng, Tony R. Martinez:
Distribution-balanced stratified cross-validation for accuracy estimation. J. Exp. Theor. Artif. Intell. 12(1): 1-12 (2000) - [j15]Xinchuan Zeng, Tony R. Martinez:
Using a Neural Network to Approximate an Ensemble of Classifiers. Neural Process. Lett. 12(3): 225-237 (2000) - [c23]Xinchuan Zeng, Tony R. Martinez:
Rescaling the Energy Function in Hopfield Networks. IJCNN (6) 2000: 498-504 - 1999
- [j14]Xinchuan Zeng, Tony R. Martinez:
A New Relaxation Procedure in the Hopfield Network for Solving Optimization Problems. Neural Process. Lett. 10(3): 211-222 (1999) - [c21]Xinchuan Zeng, Tony R. Martinez:
Improving the Performance of the Hopfield Network By Using A Relaxation Rate. ICANNGA 1999: 67-72 - [c20]Xinchuan Zeng, Tony R. Martinez:
A New Activation Function in the Hopfield Network for Solving Optimization Problems. ICANNGA 1999: 73-77 - [c19]Xinchuan Zeng, Tony R. Martinez:
Extending the power and capacity of constraint satisfaction networks. IJCNN 1999: 432-437 - 1994
- [j6]Kevin S. Van Horn, Tony R. Martinez:
The minimum feature set problem. Neural Networks 7(3): 491-494 (1994) - [j5]J. C. Barker, Tony R. Martinez:
Proof of correctness for ASOCS AA3 networks. IEEE Trans. Syst. Man Cybern. 24(3): 503-510 (1994) - 1993
- [c2]Tony R. Martinez, Brent W. Hughes:
Towards a general distributed platform for learning and generalization. ANNES 1993: 216-219 - 1991
- [j4]Tony R. Martinez, Douglas M. Campbell:
A Self-Adjusting Dynamic Logic Module. J. Parallel Distributed Comput. 11(4): 303-313 (1991) - [j3]Tony R. Martinez, Douglas M. Campbell:
A self-organizing binary decision tree for incrementally defined rule-based systems. IEEE Trans. Syst. Man Cybern. 21(5): 1231-1238 (1991) - 1988
- [j1]Tony R. Martinez, Jacques J. Vidal:
Adaptive Parallel Logic Networks. J. Parallel Distributed Comput. 5(1): 26-58 (1988)
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