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HPCC
2007
Springer
15 years 6 months ago
Optimizing Performance of Automatic Training Phase for Application Performance Prediction in the Grid
Abstract. Automatic execution time prediction of the Grid applications plays a critical role in making the pervasive Grid more reliable and predictable. However, automatic executio...
Farrukh Nadeem, Radu Prodan, Thomas Fahringer
VTC
2006
IEEE
104views Communications» more  VTC 2006»
15 years 5 months ago
Low-Complexity Optimal Detection for Hybrid Space-Time Block Coding and Spatial Multiplexing
— The combination of space-time block codes (STBC) and spatial multiplexing (SM) schemes has the advantages of diversity gain and high data rate. For such STBC/SM hybrid systems,...
Yue Wu, Chintha Tellambura
ICTAI
2003
IEEE
15 years 5 months ago
Engineering Optimization Using a Simple Evolutionary Algorithm
This paper presents a simple ¢¤£¦¥¨§© Evolution Strategy and three simple selection criteria to solve engineering optimization problems. This approach avoids the use of a...
Efrén Mezura-Montes, Carlos A. Coello Coell...
NCI
2004
188views Neural Networks» more  NCI 2004»
15 years 1 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
WWW
2005
ACM
16 years 15 days ago
Applying NavOptim to minimise navigational effort
A major factor in the effectiveness of the interaction which users have with Web applications is the ease with which they can locate information and functionality which they are s...
David Lowe, Xiaoying Kong