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» Dynamic power management using machine learning
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90
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LREC
2010
186views Education» more  LREC 2010»
14 years 11 months ago
WITcHCRafT: A Workbench for Intelligent exploraTion of Human ComputeR conversaTions
We present Witchcraft, an open-source framework for the evaluation of prediction models for spoken dialogue systems based on interaction logs and audio recordings. The use of Witc...
Alexander Schmitt, Gregor Bertrand, Tobias Heinrot...
DAC
2009
ACM
15 years 4 months ago
Throughput optimal task allocation under thermal constraints for multi-core processors
It is known that temperature gradients and thermal hotspots affect the reliability of microprocessors. Temperature is also an important constraint when maximizing the performance...
Vinay Hanumaiah, Ravishankar Rao, Sarma B. K. Vrud...
EDOC
2006
IEEE
15 years 3 months ago
VIDRE - A Distributed Service-Oriented Business Rule Engine based on RuleML
Business rules provide an elegant solution to manage dynamic business logic by separating business knowledge from its implementation logic. The drawback of most existing business ...
Christoph Nagl, Florian Rosenberg, Schahram Dustda...
CHI
2003
ACM
15 years 9 months ago
Faceted metadata for image search and browsing
There are currently two dominant interface types for searching and browsing large image collections: keywordbased search, and searching by overall similarity to sample images. We ...
Ka-Ping Yee, Kirsten Swearingen, Kevin Li, Marti A...
82
Voted
ICS
2009
Tsinghua U.
15 years 4 months ago
Adagio: making DVS practical for complex HPC applications
Power and energy are first-order design constraints in high performance computing. Current research using dynamic voltage scaling (DVS) relies on trading increased execution time...
Barry Rountree, David K. Lowenthal, Bronis R. de S...