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» Statistical Performance Modeling and Optimization
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182
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GECCO
2007
Springer
212views Optimization» more  GECCO 2007»
15 years 10 months ago
Controlling overfitting with multi-objective support vector machines
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...
Ingo Mierswa
PPSN
2004
Springer
16 years 10 hour ago
On the Importance of Information Speed in Structured Populations
A radius–based separation of selection and recombination spheres in diffusion model EAs is introduced, enabling a new taxonomy, oriented towards information flow analysis. It a...
Mike Preuss, Christian Lasarczyk
DAC
2004
ACM
15 years 10 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...
225
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SIGMETRICS
1996
ACM
174views Hardware» more  SIGMETRICS 1996»
15 years 10 months ago
Embra: Fast and Flexible Machine Simulation
This paper describes Embra, a simulator for the processors, caches, and memory systems of uniprocessors and cache-coherent multiprocessors. When running as part of the SimOS simul...
Emmett Witchel, Mendel Rosenblum
ICML
2008
IEEE
16 years 7 months ago
Localized multiple kernel learning
Recently, instead of selecting a single kernel, multiple kernel learning (MKL) has been proposed which uses a convex combination of kernels, where the weight of each kernel is opt...
Ethem Alpaydin, Mehmet Gönen