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» Dynamic power management using machine learning
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BMCBI
2006
150views more  BMCBI 2006»
15 years 3 months ago
TreeDyn: towards dynamic graphics and annotations for analyses of trees
Background: Analyses of biomolecules for biodiversity, phylogeny or structure/function studies often use graphical tree representations. Many powerful tree editors are now availab...
François Chevenet, Christine Brun, Anne-Lau...
115
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VEE
2010
ACM
229views Virtualization» more  VEE 2010»
15 years 10 months ago
VMKit: a substrate for managed runtime environments
Managed Runtime Environments (MREs), such as the JVM and the CLI, form an attractive environment for program execution, by providing portability and safety, via the use of a bytec...
Nicolas Geoffray, Gaël Thomas, Julia L. Lawal...
119
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HCW
1999
IEEE
15 years 7 months ago
Metacomputing with MILAN
The MILAN project, a joint effort involving Arizona State University and New York University, has produced and validated fundamental techniques for the realization of efficient, r...
Arash Baratloo, Partha Dasgupta, Vijay Karamcheti,...
162
Voted
ICML
2010
IEEE
15 years 4 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint
128
Voted
ICWN
2007
15 years 5 months ago
Comparing Agent Paradigms for Resource Management in Sensor Networks
— Management of power and other resources that effect field life is an important consideration in sensor networks. This paper presents and compares alternative agent paradigms ap...
Anish Anthony, Thomas C. Jannett