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» Dynamic power management using machine learning
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PPAM
2007
Springer
15 years 6 months ago
A Grid-Enabled Lattice-Boltzmann-Based Modelling System
Lattice-Boltzmann (LB) methods are a well-known technique in the context of computational fluid dynamics. By nature, they can easily be parallelized but their adaptation to the Gr...
Gérard Dethier, Cyril Briquet, Pierre March...
ICALT
2006
IEEE
15 years 6 months ago
Augmented Learning: Context-Aware Mobile Augmented Reality Architecture for Learning
Mobile Augmented Reality System (MARS) based elearning environments equip a learner with a mobile wearable see-through display that interacts with training/learning software. MARS...
Jayfus T. Doswell
ECML
2005
Springer
15 years 5 months ago
Fitting the Smallest Enclosing Bregman Ball
Finding a point which minimizes the maximal distortion with respect to a dataset is an important estimation problem that has recently received growing attentions in machine learnin...
Richard Nock, Frank Nielsen
WEBNET
1998
15 years 1 months ago
Intelligent Knowledge Gathering and Management as New Ways of an Improved Learning Process
: This paper gives a short description of a working prototype of an intelligent background knowledge broker as an enhancement module of the Web base training system GENTLE [Maurer ...
Thomas Dietinger, Christian Gütl, Hermann A. ...
ICAC
2009
IEEE
15 years 6 months ago
vManage: loosely coupled platform and virtualization management in data centers
: © vManage: Loosely Coupled Platform and Virtualization Management in Data Centers Sanjay Kumar, Vanish Talwar, Vibhore Kumar, Parthasarathy Ranganathan, Karsten Schwan HP Labora...
Sanjay Kumar, Vanish Talwar, Vibhore Kumar, Partha...