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CDC
2009
IEEE
172views Control Systems» more  CDC 2009»
13 years 10 months ago
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
—TD learning and its refinements are powerful tools for approximating the solution to dynamic programming problems. However, the techniques provide the approximate solution only...
Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrish...
BMCBI
2006
150views more  BMCBI 2006»
13 years 5 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...
CATA
2004
13 years 7 months ago
Decision Tree Induction for Dynamic, High-Dimensional Data Using P-Trees
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
Anne Denton, William Perrizo
IPPS
2002
IEEE
13 years 10 months ago
Dynamic Power Management of Multiprocessor Systems
Power management is critical to power-constrained real-time systems. In this paper, we present a dynamic power management algorithm. Unlike other approaches that focus on the trad...
Jinwoo Suh, Dong-In Kang, Stephen P. Crago
NIPS
2007
13 years 7 months ago
Managing Power Consumption and Performance of Computing Systems Using Reinforcement Learning
Electrical power management in large-scale IT systems such as commercial datacenters is an application area of rapidly growing interest from both an economic and ecological perspe...
Gerald Tesauro, Rajarshi Das, Hoi Chan, Jeffrey O....