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CONCURRENCY
2010
110views more  CONCURRENCY 2010»
15 years 6 months ago
Redesigning the message logging model for high performance
Over the past decade the number of processors in the high performance facilities went up to hundreds of thousands. As a direct consequence, while the computational power follow th...
Aurelien Bouteiller, George Bosilca, Jack Dongarra
CORR
2007
Springer
128views Education» more  CORR 2007»
15 years 6 months ago
Model Selection Through Sparse Maximum Likelihood Estimation
We consider the problem of estimating the parameters of a Gaussian or binary distribution in such a way that the resulting undirected graphical model is sparse. Our approach is to...
Onureena Banerjee, Laurent El Ghaoui, Alexandre d'...
171
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TISSEC
2008
106views more  TISSEC 2008»
15 years 6 months ago
On predictive models and user-drawn graphical passwords
In commonplace text-based password schemes, users typically choose passwords that are easy to recall, exhibit patterns, and are thus vulnerable to brute-force dictionary attacks. ...
Paul C. van Oorschot, Julie Thorpe
NPL
2007
109views more  NPL 2007»
15 years 6 months ago
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Autonomous mobile robots form an important research topic in the field of robotics due to their near-term applicability in the real world as domestic service robots. These robots ...
Eric A. Antonelo, Benjamin Schrauwen, Jan M. Van C...
PR
2007
104views more  PR 2007»
15 years 6 months ago
Optimizing resources in model selection for support vector machine
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
Mathias M. Adankon, Mohamed Cheriet