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» Mathematical Models of Endocrine Systems
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92
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BMCBI
2008
160views more  BMCBI 2008»
15 years 24 days ago
Dynamic sensitivity analysis of biological systems
Background: A mathematical model to understand, predict, control, or even design a real biological system is a central theme in systems biology. A dynamic biological system is alw...
Wu Hsiung Wu, Feng Sheng Wang, Maw Shang Chang
ALMOB
2006
113views more  ALMOB 2006»
15 years 22 days ago
Inverse bifurcation analysis: application to simple gene systems
Background: Bifurcation analysis has proven to be a powerful method for understanding the qualitative behavior of gene regulatory networks. In addition to the more traditional for...
James Lu, Heinz W. Engl, Peter Schuster
82
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FPL
2005
Springer
86views Hardware» more  FPL 2005»
15 years 6 months ago
On the Reliability Evaluation of SRAM-Based FPGA Designs
Benefits of Field Programmable Gate Arrays (FPGAs) have lead to a spectrum of use ranging from consumer products to astronautics. This diversity necessitates the need to evaluate ...
Olivier Héron, Talal Arnaout, Hans-Joachim ...
134
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DAGSTUHL
2009
15 years 1 months ago
Statistical Mechanics of On-line Learning
We introduce and discuss the application of statistical physics concepts in the context of on-line machine learning processes. The consideration of typical properties of very large...
Michael Biehl, Nestor Caticha, Peter Riegler
CORR
2007
Springer
110views Education» more  CORR 2007»
15 years 20 days ago
Free deconvolution for signal processing applications
—Situations in many fields of research, such as digital communications, nuclear physics and mathematical finance, can be modelled with random matrices. When the matrices get la...
Øyvind Ryan, Mérouane Debbah