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» The Variability Model of The Linux Kernel
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CORR
2007
Springer
164views Education» more  CORR 2007»
13 years 6 months ago
Consistency of the group Lasso and multiple kernel learning
We consider the least-square regression problem with regularization by a block 1-norm, that is, a sum of Euclidean norms over spaces of dimensions larger than one. This problem, r...
Francis Bach
PPOPP
2010
ACM
14 years 1 months ago
Load balancing on speed
To fully exploit multicore processors, applications are expected to provide a large degree of thread-level parallelism. While adequate for low core counts and their typical worklo...
Steven Hofmeyr, Costin Iancu, Filip Blagojevic
ICCD
2007
IEEE
120views Hardware» more  ICCD 2007»
14 years 3 months ago
Statistical timing analysis using Kernel smoothing
We have developed a new statistical timing analysis approach that does not impose any assumptions on the nature of manufacturing variability and takes into account an arbitrary mo...
Jennifer L. Wong, Azadeh Davoodi, Vishal Khandelwa...
MLCW
2005
Springer
14 years 6 days ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
CODASPY
2012
12 years 2 months ago
Identifying native applications with high assurance
Main stream operating system kernels lack a strong and reliable mechanism for identifying the running processes and binding them to the corresponding executable applications. In t...
Hussain M. J. Almohri, Danfeng (Daphne) Yao, Denni...