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IJCNN
2006
IEEE
14 years 7 days ago
Using Neural Network to Enhance Assimilating Sea Surface Height Data into an Ocean Model
—A generic approach that allows extracting functional nonlinear dependencies and mappings between atmospheric or ocean state variables in a relatively simple form is presented. T...
Vladimir M. Krasnopolsky, Carlos J. Lozano, Deanna...
SIAMREV
2010
132views more  SIAMREV 2010»
13 years 29 days ago
A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data
In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
Ivo Babuska, Fabio Nobile, Raúl Tempone
ESWA
2008
204views more  ESWA 2008»
13 years 6 months ago
A comparison of neural network and multiple regression analysis in modeling capital structure
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...
Hsiao-Tien Pao
DAC
2004
ACM
13 years 11 months ago
Parametric yield estimation considering leakage variability
Leakage current has become a stringent constraint in today’s processor designs in addition to traditional constraints on frequency. Since leakage current exhibits a strong inver...
Rajeev R. Rao, Anirudh Devgan, David Blaauw, Denni...
IEEEPACT
2006
IEEE
14 years 7 days ago
An empirical evaluation of chains of recurrences for array dependence testing
Code restructuring compilers rely heavily on program analysis techniques to automatically detect data dependences between program statements. Dependences between statement instanc...
Johnnie Birch, Robert A. van Engelen, Kyle A. Gall...