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» Variability Models Must Not be Invariant!
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KDD
1998
ACM
190views Data Mining» more  KDD 1998»
13 years 12 months ago
Time Series Forecasting from High-Dimensional Data with Multiple Adaptive Layers
This paper describes our work in learning online models that forecast real-valued variables in a high-dimensional space. A 3GB database was collected by sampling 421 real-valued s...
R. Bharat Rao, Scott Rickard, Frans Coetzee
SODA
2003
ACM
157views Algorithms» more  SODA 2003»
13 years 9 months ago
Competitive queueing policies for QoS switches
We consider packet scheduling in a network providing differentiated services, where each packet is assigned a value. We study various queueing models for supporting QoS (Quality ...
Nir Andelman, Yishay Mansour, An Zhu
MIDDLEWARE
2004
Springer
14 years 1 months ago
Kernel-middleware interaction to support adaptation in pervasive computing environments
In pervasive computing environments, conditions are highly variable and resources are limited. In order to meet the needs of applications, systems must adapt dynamically to changi...
Farshad A. Samimi, Philip K. McKinley, Seyed Masou...
LCPC
2009
Springer
14 years 6 days ago
A Communication Framework for Fault-Tolerant Parallel Execution
PC grids represent massive computation capacity at a low cost, but are challenging to employ for parallel computing because of variable and unpredictable performance and availabili...
Nagarajan Kanna, Jaspal Subhlok, Edgar Gabriel, Es...
CORR
2007
Springer
177views Education» more  CORR 2007»
13 years 7 months ago
N3Logic: A Logical Framework For the World Wide Web
The Semantic Web drives towards the use of the Web for interacting with logically interconnected data. Through knowledge models such as Resource Description Framework (RDF), the S...
Tim Berners-Lee, Dan Connolly, Lalana Kagal, Yosi ...