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» Learning Units Design Based in Grid Computing
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137
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ESCIENCE
2006
IEEE
15 years 7 months ago
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set
Application execution time prediction is of key importance in making decisions about efficient usage of Grid resources. Grid services lack support of a generic application executi...
Farrukh Nadeem, Muhammad Murtaza Yousaf, Radu Prod...
KDD
2010
ACM
310views Data Mining» more  KDD 2010»
15 years 7 months ago
An integrated machine learning approach to stroke prediction
Stroke is the third leading cause of death and the principal cause of serious long-term disability in the United States. Accurate prediction of stroke is highly valuable for early...
Aditya Khosla, Yu Cao, Cliff Chiung-Yu Lin, Hsu-Ku...
115
Voted
GRID
2005
Springer
15 years 9 months ago
Wide area data replication for scientific collaborations
Scientific applications require sophisticated data management capabilities. We present the design and implementation of a Data Replication Service (DRS), one of a planned set of h...
Ann L. Chervenak, Robert Schuler, Carl Kesselman, ...
DAC
2005
ACM
15 years 5 months ago
Power grid simulation via efficient sampling-based sensitivity analysis and hierarchical symbolic relaxation
On-chip supply networks are playing an increasingly important role for modern nanometer-scale designs. However, the ever growing sizes of power grids make the analysis problem ext...
Peng Li
109
Voted
AAI
2005
123views more  AAI 2005»
15 years 3 months ago
Collaboration in the Semantic Grid: A Basis for E-Learning
The CoAKTinG project aims to advance the state of the art in collaborative mediated spaces for the Semantic Grid. This paper presents an overview of the hypertext and knowledge bas...
Kevin R. Page, Danius T. Michaelides, David De Rou...