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RSA
2006
69views more  RSA 2006»
15 years 4 months ago
On smoothed analysis in dense graphs and formulas
: We study a model of random graphs, where a random instance is obtained by adding random edges to a large graph of a given density. The research on this model has been started by ...
Michael Krivelevich, Benny Sudakov, Prasad Tetali
ICML
2003
IEEE
16 years 5 months ago
Kernel PLS-SVC for Linear and Nonlinear Classification
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
Roman Rosipal, Leonard J. Trejo, Bryan Matthews
CHI
2009
ACM
16 years 5 months ago
Using temporal patterns (t-patterns) to derive stress factors of routine tasks
We describe the use of a statistical technique called Tpattern analysis to derive and characterize the routineness of tasks. T-patterns provide significant advantages over traditi...
Oliver Brdiczka, Norman Makoto Su, Bo Begole
HPCA
2008
IEEE
16 years 5 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
ICCAD
2007
IEEE
175views Hardware» more  ICCAD 2007»
16 years 1 months ago
Compact modeling of variational waveforms
— In ultra-deep sub-micron technologies, modeling waveform shapes correctly is essential for accurate timing and noise analysis. Due to process and environmental variations, ther...
Vladimir Zolotov, Jinjun Xiong, Soroush Abbaspour,...