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» Runtime Prediction of Real Programs on Real Machines
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JMLR
2006
80views more  JMLR 2006»
14 years 9 months ago
Using Machine Learning to Guide Architecture Simulation
An essential step in designing a new computer architecture is the careful examination of different design options. It is critical that computer architects have efficient means by ...
Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Cald...
ICDCSW
2009
IEEE
15 years 4 months ago
Embedded Virtual Machines for Robust Wireless Control Systems
Embedded wireless networks have largely focused on openloop sensing and monitoring. To address actuation in closedloop wireless control systems there is a strong need to re-think ...
Rahul Mangharam, Miroslav Pajic
NN
2000
Springer
161views Neural Networks» more  NN 2000»
14 years 9 months ago
How good are support vector machines?
Support vector (SV) machines are useful tools to classify populations characterized by abrupt decreases in density functions. At least for one class of Gaussian data model the SV ...
Sarunas Raudys
TNN
2010
173views Management» more  TNN 2010»
14 years 4 months ago
Multiclass relevance vector machines: sparsity and accuracy
Abstract--In this paper we investigate the sparsity and recognition capabilities of two approximate Bayesian classification algorithms, the multi-class multi-kernel Relevance Vecto...
Ioannis Psorakis, Theodoros Damoulas, Mark A. Giro...
CTRSA
2007
Springer
111views Cryptology» more  CTRSA 2007»
15 years 3 months ago
Predicting Secret Keys Via Branch Prediction
This paper announces a new software side-channel attack — enabled by the branch prediction capability common to all modern highperformance CPUs. The penalty paid (extra clock cyc...
Onur Aciiçmez, Çetin Kaya Koç...