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PDP
2003
IEEE
15 years 9 months ago
Performance Modeling of Scientific Applications: Scalability Analysis of LAPW0
This paper presents a high-level approach for assessing the performance behavior of complex scientific applications running on a high-performance system through simulation. The pr...
Thomas Fahringer, Nicola Mazzocca, Massimiliano Ra...
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 9 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
JSA
2006
97views more  JSA 2006»
15 years 3 months ago
Dynamic feature selection for hardware prediction
It is often possible to greatly improve the performance of a hardware system via the use of predictive (speculative) techniques. For example, the performance of out-of-order micro...
Alan Fern, Robert Givan, Babak Falsafi, T. N. Vija...
ICIC
2009
Springer
15 years 1 months ago
An Intelligent Prediction Model for Generating LGD Trigger of IEEE 802.21 MIH
IEEE recently standardized 802.21-2008 Media Independent Handover (MIH) standard. MIH is a key milestone toward the evolution of integrated heterogeneous 4G wireless networks. MIH ...
Muhammad Yousaf, Sohail Bhatti, Maaz Rehan, Amir Q...
ICML
2010
IEEE
15 years 4 months ago
Modeling Interaction via the Principle of Maximum Causal Entropy
The principle of maximum entropy provides a powerful framework for statistical models of joint, conditional, and marginal distributions. However, there are many important distribu...
Brian Ziebart, J. Andrew Bagnell, Anind K. Dey