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SIAMSC
2008
198views more  SIAMSC 2008»
13 years 7 months ago
Model Reduction for Large-Scale Systems with High-Dimensional Parametric Input Space
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...
T. Bui-Thanh, Karen Willcox, Omar Ghattas
ICCAD
2006
IEEE
169views Hardware» more  ICCAD 2006»
14 years 4 months ago
Microarchitecture parameter selection to optimize system performance under process variation
Abstract— Design variability due to within-die and die-todie process variations has the potential to significantly reduce the maximum operating frequency and the effective yield...
Xiaoyao Liang, David Brooks
BMCBI
2006
175views more  BMCBI 2006»
13 years 7 months ago
Parameter estimation for stiff equations of biosystems using radial basis function networks
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
Yoshiya Matsubara, Shinichi Kikuchi, Masahiro Sugi...
BC
1998
77views more  BC 1998»
13 years 7 months ago
Nonlinear analysis of epileptic activity in rabbit neocortex
Abstract. We report on the nonlinear analysis of electroencephalogram (EEG) recordings in the rabbit visual cortex. Epileptic seizures were induced by local penicillin application ...
J. Sarnthein, Henry D. I. Abarbanel, H. Pockberger
SIGMOD
2011
ACM
299views Database» more  SIGMOD 2011»
12 years 10 months ago
Processing theta-joins using MapReduce
Joins are essential for many data analysis tasks, but are not supported directly by the MapReduce paradigm. While there has been progress on equi-joins, implementation of join alg...
Alper Okcan, Mirek Riedewald