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BMCBI
2010
156views more  BMCBI 2010»
13 years 7 months ago
Mathematical model for empirically optimizing large scale production of soluble protein domains
Background: Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically ...
Eisuke Chikayama, Atsushi Kurotani, Takanori Tanak...
CMG
2003
13 years 9 months ago
{Performance Modeling and Evaluation of Large-Scale J2EE Applications
The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using qu...
Samuel Kounev, Alejandro P. Buchmann
JCB
2007
198views more  JCB 2007»
13 years 7 months ago
Bayesian Hierarchical Model for Large-Scale Covariance Matrix Estimation
Many bioinformatics problems can implicitly depend on estimating large-scale covariance matrix. The traditional approaches tend to give rise to high variance and low accuracy esti...
Dongxiao Zhu, Alfred O. Hero III
SIAMSC
2010
159views more  SIAMSC 2010»
13 years 5 months ago
Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
Chad Lieberman, Karen Willcox, Omar Ghattas
CISIS
2008
IEEE
14 years 2 months ago
Hybrid Performance Modeling and Prediction of Large-Scale Computing Systems
Abstract—Performance is a key feature of large-scale computing systems. However, the achieved performance when a certain program is executed is significantly lower than the maxi...
Sabri Pllana, Siegfried Benkner, Fatos Xhafa, Leon...