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» Dynamic power management using machine learning
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RTCSA
2005
IEEE
15 years 9 months ago
Multi-Versions Data for Improvement of QoS in RTDBS
In current research toward the design of more powerful behavior of RTDBS under unpredictable workloads, different research groups focus their work on QoS (Quality of Service) guar...
Emna Bouazizi, Claude Duvallet, Bruno Sadeg
ICAC
2007
IEEE
15 years 10 months ago
Autonomous Return on Investment Analysis of Additional Processing Resources
As the use of virtualization and partitioning grows, it becomes possible to deploy a multi-tier web-based application with a variable amount of computing power. This introduces th...
Jonathan Wildstrom, Peter Stone, Emmett Witchel
CORR
2010
Springer
100views Education» more  CORR 2010»
15 years 4 months ago
Products of Weighted Logic Programs
Abstract. Weighted logic programming, a generalization of bottom-up logic programming, is a successful framework for specifying dynamic programming algorithms. In this setting, pro...
Shay B. Cohen, Robert J. Simmons, Noah A. Smith
ML
2010
ACM
142views Machine Learning» more  ML 2010»
15 years 2 months ago
Fast adaptive algorithms for abrupt change detection
We propose two fast algorithms for abrupt change detection in streaming data that can operate on arbitrary unknown data distributions before and after the change. The first algor...
Daniel Nikovski, Ankur Jain
ICALT
2005
IEEE
15 years 9 months ago
ActiveTutor
In this paper we present an architecture dedicated to an intelligently assisted educational tool which integrates within a unified framework software rational agents both at the m...
Jean Pierre Fournier