Stephen J. Verzi, Ph.D.

Affiliations: 
2003 University of New Mexico, Albuquerque, NM, United States 
Area:
Computer Science
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"Stephen Verzi"

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Gregory L. Heileman grad student 2003 Univ. of New Mexico
 (Extensions to fuzzy ARTMAP based on structural risk minimization.)
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Publications

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Severa W, Vineyard CM, Dellana R, et al. (2019) Training deep neural networks for binary communication with the Whetstone method Nature Machine Intelligence. 1: 86-94
Verzi SJ, Rothganger F, Parekh OD, et al. (2018) Computing with Spikes: The Advantage of Fine-Grained Timing. Neural Computation. 1-31
Vineyard CM, Verzi SJ, James CD, et al. (2015) Repeated play of the SVM game as a means of adaptive classification Proceedings of the International Joint Conference On Neural Networks. 2015
Vineyard CM, Verzi SJ, James CD, et al. (2015) MapReduce SVM game Procedia Computer Science. 53: 298-307
Vineyard CM, Emmanuel GR, Verzi SJ, et al. (2013) A game theoretic model of neurocomputation Advances in Intelligent Systems and Computing. 196: 373-374
Vineyard CM, Verzi SJ, Bernard ML, et al. (2012) A multi-modal network architecture for knowledge discovery Security Informatics. 1
Vineyard CM, Heileman GL, Verzi SJ, et al. (2012) Game theoretic mechanism design applied to machine learning classification 2012 3rd International Workshop On Cognitive Information Processing, Cip 2012
Chew PA, Bader BW, Helmreich S, et al. (2011) An information-theoretic, vector-space-model approach to cross-language information retrieval Natural Language Engineering. 17: 37-70
Verzi SJ, Heileman GL, Georgiopoulos M. (2006) Boosted ARTMAP: modifications to fuzzy ARTMAP motivated by boosting theory. Neural Networks : the Official Journal of the International Neural Network Society. 19: 446-68
Anagnostopoulos GC, Bharadwaj M, Georgiopoulos M, et al. (2003) Exemplar-based Pattern Recognition via Semi-Supervised Learning Proceedings of the International Joint Conference On Neural Networks. 4: 2782-2787
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