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» Monte Carlo simulation approach to stochastic programming
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DAC
2006
ACM
15 years 10 months ago
Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty
Existing approaches to timing analysis under uncertainty are based on restrictive assumptions. Statistical STA techniques assume that the full probabilistic distribution of parame...
Wei-Shen Wang, Vladik Kreinovich, Michael Orshansk...
SAC
2006
ACM
15 years 3 months ago
Interval-based robust statistical techniques for non-negative convex functions, with application to timing analysis of computer
: In chip design, one of the main objectives is to decrease its clock cycle; however, the existing approaches to timing analysis under uncertainty are based on fundamentally restri...
Michael Orshansky, Wei-Shen Wang, Martine Ceberio,...
CSB
2003
IEEE
110views Bioinformatics» more  CSB 2003»
15 years 2 months ago
Statistical Inference for Well-ordered Structures in Nucleotide Sequences
Distinct, local structures are frequently correlated with functional RNA elements involved in posttranscriptional regulation of gene expression. Discovery of microRNAs (miRNAs) su...
Shu-Yun Le, Jih-H. Chen, Jacob V. Maizel
BMCBI
2008
179views more  BMCBI 2008»
14 years 9 months ago
Improving the power for detecting overlapping genes from multiple DNA microarray-derived gene lists
Background: In DNA microarray gene expression profiling studies, a fundamental task is to extract statistically significant genes that meet certain research hypothesis. Currently,...
Xutao Deng, Jun Xu, Charles Wang
107
Voted
DAC
2004
ACM
15 years 1 months ago
A methodology to improve timing yield in the presence of process variations
The ability to control the variations in IC fabrication process is rapidly diminishing as feature sizes continue towards the sub-100 nm regime. As a result, there is an increasing...
Sreeja Raj, Sarma B. K. Vrudhula, Janet Meiling Wa...