 | 2009 |
|---|
| 32 |       | 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) |
| 31 | | Joshua E. Menke,
Tony R. Martinez:
Artificial neural network reduction through oracle learning.
Intell. Data Anal. 13(1): 135-149 (2009) |
| 30 | | Adam H. Peterson,
Tony R. Martinez:
Reducing Decision Tree Ensemble Size Using Parallel Decision DAGs.
International Journal on Artificial Intelligence Tools 18(4): 613-620 (2009) |
| 2008 |
|---|
| 29 | | Joshua E. Menke,
Tony R. Martinez:
A Bradley-Terry artificial neural network model for individual ratings in group competitions.
Neural Computing and Applications 17(2): 175-186 (2008) |
| 2007 |
|---|
| 28 | | Michael Gashler,
Dan Ventura,
Tony R. Martinez:
Iterative Non-linear Dimensionality Reduction with Manifold Sculpting.
NIPS 2007 |
| 27 | | Christophe G. Giraud-Carrier,
Tony R. Martinez:
Learning by Discrimination: A Constructive Incremental Approach.
JCP 2(7): 49-58 (2007) |
| 2005 |
|---|
| 26 | | Joshua E. Menke,
Tony R. Martinez:
Domain expert approximation through oracle learning.
ESANN 2005: 205-210 |
| 2004 |
|---|
| 25 | | 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) |
| 2003 |
|---|
| 24 | | D. Randall Wilson,
Tony R. Martinez:
The general inefficiency of batch training for gradient descent learning.
Neural Networks 16(10): 1429-1451 (2003) |
| 2002 |
|---|
| 23 | | 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 |
|---|
| 22 | | Timothy L. Andersen,
Tony R. Martinez:
DMP3: A Dynamic Multilayer Perceptron Construction Algorithm.
Int. J. Neural Syst. 11(2): 145-165 (2001) |
| 21 | | Xinchuan Zeng,
Tony R. Martinez:
An algorithm for correcting mislabeled data.
Intell. Data Anal. 5(6): 491-502 (2001) |
| 2000 |
|---|
| 20 | | D. Randall Wilson,
Tony R. Martinez:
The Inefficiency of Batch Training for Large Training Sets.
IJCNN (2) 2000: 113-117 |
| 19 | | Xinchuan Zeng,
Tony R. Martinez:
Rescaling the Energy Function in Hopfield Networks.
IJCNN (6) 2000: 498-504 |
| 18 |  | D. Randall Wilson,
Tony R. Martinez:
An Integrated Instance-Based Learning Algorithm.
Computational Intelligence 16(1): 1-28 (2000) |
| 17 | | Dan Ventura,
Tony R. Martinez:
Quantum associative memory.
Inf. Sci. 124(1-4): 273-296 (2000) |
| 16 | | Xinchuan Zeng,
Tony R. Martinez:
Distribution-balanced stratified cross-validation for accuracy estimation.
J. Exp. Theor. Artif. Intell. 12(1): 1-12 (2000) |
| 15 | | D. Randall Wilson,
Tony R. Martinez:
Reduction Techniques for Instance-Based Learning Algorithms.
Machine Learning 38(3): 257-286 (2000) |
| 14 | | Xinchuan Zeng,
Tony R. Martinez:
Using a Neural Network to Approximate an Ensemble of Classifiers.
Neural Processing Letters 12(3): 225-237 (2000) |
| 1999 |
|---|
| 13 | | Xinchuan Zeng,
Tony R. Martinez:
A New Relaxation Procedure in the Hopfield Network for Solving Optimization Problems.
Neural Processing Letters 10(3): 211-222 (1999) |
| 1997 |
|---|
| 12 | | D. Randall Wilson,
Tony R. Martinez:
Instance Pruning Techniques.
ICML 1997: 403-411 |
| 11 | | D. Randall Wilson,
Tony R. Martinez:
Improved Heterogeneous Distance Functions
CoRR cs.AI/9701101: (1997) |
| 10 | | D. Randall Wilson,
Tony R. Martinez:
Improved Heterogeneous Distance Functions.
J. Artif. Intell. Res. (JAIR) 6: 1-34 (1997) |
| 1996 |
|---|
| 9 | | 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 |
|---|
| 8 | | Christophe G. Giraud-Carrier,
Tony R. Martinez:
An Integrated Framework for Learning and Reasoning
CoRR abs/cs/9508102: (1995) |
| 7 | | Christophe G. Giraud-Carrier,
Tony R. Martinez:
An Integrated Framework for Learning and Reasoning.
J. Artif. Intell. Res. (JAIR) 3: 147-185 (1995) |
| 6 | | Christophe G. Giraud-Carrier,
Tony R. Martinez:
Analysis of the Convergence and Generalization of AA1.
J. Parallel Distrib. Comput. 26(1): 125-131 (1995) |
| 1994 |
|---|
| 5 | | J. C. Barker,
Tony R. Martinez:
Proof of correctness for ASOCS AA3 networks.
IEEE Transactions on Systems, Man, and Cybernetics 24(3): 503-510 (1994) |
| 4 | | Kevin S. Van Horn,
Tony R. Martinez:
The minimum feature set problem.
Neural Networks 7(3): 491-494 (1994) |
| 1991 |
|---|
| 3 | | Tony R. Martinez,
Douglas M. Campbell:
A Self-Adjusting Dynamic Logic Module.
J. Parallel Distrib. Comput. 11(4): 303-313 (1991) |
| 1990 |
|---|
| 2 | | Tony R. Martinez:
Smart Memory: the Memory Processor Model.
Modelling the Innovation 1990: 481-488 |
| 1988 |
|---|
| 1 | | Tony R. Martinez,
Jacques J. Vidal:
Adaptive Parallel Logic Networks.
J. Parallel Distrib. Comput. 5(1): 26-58 (1988) |
