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» Conductor: A Framework for Distributed Adaptation
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PAMI
2010
132views more  PAMI 2010»
15 years 3 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
Tobias Glasmachers, Christian Igel
ICDCS
2005
IEEE
15 years 10 months ago
Rapid Development and Flexible Deployment of Adaptive Wireless Sensor Network Applications
Wireless sensor networks (WSNs) are difficult to program and usually run statically-installed software limiting its flexibility. To address this, we developed Agilla, a new midd...
Chien-Liang Fok, Gruia-Catalin Roman, Chenyang Lu
IPPS
2008
IEEE
15 years 11 months ago
VT-ASOS: Holistic system software customization for many cores
VT-ASOS is a framework for holistic and continuous customization of system software on HPC systems. The framework leverages paravirtualization technology. VT-ASOS extends the Xen ...
Dimitrios S. Nikolopoulos, Godmar Back, Jyotirmaya...
IPPS
2003
IEEE
15 years 10 months ago
A Framework for Portable Shared Memory Programming
Widespread adaptation of shared memory programming for High Performance Computing has been inhibited by a lack of standardization and the resulting portability problems between pl...
Martin Schulz, Sally A. McKee
ICCAD
2006
IEEE
103views Hardware» more  ICCAD 2006»
16 years 1 months ago
A statistical framework for post-silicon tuning through body bias clustering
Adaptive body biasing (ABB) is a powerful technique that allows post-silicon tuning of individual manufactured dies such that each die optimally meets the delay and power constrai...
Sarvesh H. Kulkarni, Dennis Sylvester, David Blaau...