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» Conductor: A Framework for Distributed Adaptation
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PAMI
2010
132views more  PAMI 2010»
13 years 7 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
14 years 2 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
14 years 3 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
14 years 2 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»
14 years 5 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...