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» Dynamic power management using machine learning
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ICML
2000
IEEE
15 years 7 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
SAC
2010
ACM
15 years 3 months ago
Load forecasting applied to soft real-time web clusters
Dynamic configuration techniques such as DVFS (Dynamic Voltage and Frequency Scaling) and turning on/off computers are well known ways to promote energy consumption reduction in w...
Carlos Santana, Julius C. B. Leite, Daniel Moss&ea...
147
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LAMAS
2005
Springer
15 years 9 months ago
Multi-agent Relational Reinforcement Learning
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
Tom Croonenborghs, Karl Tuyls, Jan Ramon, Maurice ...
PERCOM
2011
ACM
14 years 7 months ago
Using prediction to conserve energy in recognition on mobile devices
—As devices are expected to be aware of their environment, the challenge becomes how to accommodate these abilities with the power constraints which plague modern mobile devices....
Dawud Gordon, Stephan Sigg, Yong Ding, Michael Bei...
IUI
2005
ACM
15 years 9 months ago
Building intelligent shopping assistants using individual consumer models
This paper describes an Intelligent Shopping Assistant designed for a shopping cart mounted tablet PC that enables individual interactions with customers. We use machine learning ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...