Jaime Nava, Ph.D.
Affiliations: | 2012 | Computer Science | University of Texas at El Paso, El Paso, TX, United States |
Area:
Computer ScienceGoogle:
"Jaime Nava"Parents
Sign in to add mentor| 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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Publications
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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 |