Jaime Nava, Ph.D.

2012 Computer Science University of Texas at El Paso, El Paso, TX, United States 
Computer Science
"Jaime Nava"


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Vladik Kreinovich grad student 2012 UT El Paso
 (Algorithmic aspects of analysis, prediction, and control in science and engineering: Symmetry-based approach.)
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Nava J, Kreinovich V. (2014) Why a model produced by training a neural network is often more computationally effcient than a nonlinear regression model: A theoretical explanation Journal of Uncertain Systems. 8: 193-204
Nava J, Kreinovich V. (2012) Towards symmetry-based explanation of (Approximate) shapes of alpha-helices and beta-sheets (and beta-barrels) in protein structure Symmetry. 4: 15-25
Nava J, Kosheleva O, Kreinovich V. (2012) Why bernstein polynomials are better: Fuzzy-inspired justification Ieee International Conference On Fuzzy Systems
Nava J, Kreinovich V. (2012) Towards interval techniques for model validation Computing. 94: 257-269
Nava J, Kreinovich V. (2012) Orthogonal bases are the best: A theorem justifying Bruno Apolloni's heuristic neural network idea Journal of Uncertain Systems. 6: 122-127
Kreinovich V, Nava J. (2012) I-complexity and discrete derivative of logarithms: A symmetry-based explanation Journal of Uncertain Systems. 6: 118-121
Nava J, Kreinovich V. (2011) Equivalence of gian-carlo rota poset approach and taylor series approach extended to variant ligands Journal of Uncertain Systems. 5: 111-118
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