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» Dynamic power management using machine learning
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WSC
2008
14 years 11 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
FLAIRS
2007
14 years 11 months ago
Managing Dynamic Contexts Using Failure-Driven Stochastic Models
We describe an architecture for representing and managing context shifts that supports dynamic data interpretation. This architecture utilizes two layers of learning and three lay...
Nikita A. Sakhanenko, George F. Luger, Carl R. Ste...
ICASSP
2011
IEEE
14 years 1 months ago
Improving kernel-energy trade-offs for machine learning in implantable and wearable biomedical applications
Emerging biomedical sensors and stimulators offer unprecedented modalities for delivering therapy and acquiring physiological signals (e.g., deep brain stimulators). Exploiting th...
Kyong-Ho Lee, Sun-Yuan Kung, Naveen Verma
DATE
2004
IEEE
132views Hardware» more  DATE 2004»
15 years 1 months ago
Hybrid Architectural Dynamic Thermal Management
When an application or external environmental conditions cause a chip's cooling capacity to be exceeded, dynamic thermal management (DTM) dynamically reduces the power densit...
Kevin Skadron
ECTEL
2006
Springer
15 years 1 months ago
Simulation as Efficient Support to Learning Business Dynamics
Abstract. The aim of this paper is to provide insight in the important role simulation technologies can play in the context of effective business process-oriented learning. The gap...
Alexander Karapidis, Lucia Pannese, Dimitra Pappa,...