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» Dynamic power management using machine learning
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DAC
2005
ACM
16 years 26 days ago
System-level energy-efficient dynamic task scheduling
Dynamic voltage scaling (DVS) is a well-known low power design technique that reduces the processor energy by slowing down the DVS processor and stretching the task execution time...
Jianli Zhuo, Chaitali Chakrabarti
DATE
2010
IEEE
181views Hardware» more  DATE 2010»
15 years 5 months ago
Temperature-aware dynamic resource provisioning in a power-optimized datacenter
- The current energy and environmental cost trends of datacenters are unsustainable. It is critically important to develop datacenter-wide power and thermal management (PTM) soluti...
Ehsan Pakbaznia, Mohammad Ghasemazar, Massoud Pedr...
ICML
2006
IEEE
16 years 21 days ago
Algorithms for portfolio management based on the Newton method
We experimentally study on-line investment algorithms first proposed by Agarwal and Hazan and extended by Hazan et al. which achieve almost the same wealth as the best constant-re...
Amit Agarwal, Elad Hazan, Satyen Kale, Robert E. S...
NCA
2010
IEEE
14 years 10 months ago
Genetic algorithm-based training for semi-supervised SVM
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
Mathias M. Adankon, Mohamed Cheriet
FLAIRS
2003
15 years 1 months ago
Hybrid Intelligence for Driver Assistance
We report on our on-going effort to build an adaptive driver support system, Driver AdvocateTM , merging various AI techniques, in particular, agents, ontology, production systems...
Chung Hee Hwang, Noel Massey, Bradford W. Miller, ...