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CF
2007
ACM
15 years 3 months ago
Adaptive VP decay: making value predictors leakage-efficient designs for high performance processors
Energy-efficient microprocessor designs are one of the major concerns in both high performance and embedded processor domains. Furthermore, as process technology advances toward d...
Juan M. Cebrian, Juan L. Aragón, José...
BMCBI
2006
142views more  BMCBI 2006»
14 years 12 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
NN
2006
Springer
163views Neural Networks» more  NN 2006»
14 years 12 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
ICASSP
2011
IEEE
14 years 3 months ago
Comparative threshold performance study for conditional and unconditional direction-of-arrival estimation
Comparative analysis of the threshold SNR and/or sample support values where genuine maximum likelihood DOA estimation starts to produce “outliers” is conducted for unconditio...
Yuri I. Abramovich, Ben A. Johnson
IEEEPACT
2000
IEEE
15 years 4 months ago
On Some Implementation Issues for Value Prediction on Wide-Issue ILP Processors
In this paper, we look at two issues which could affect the performance of value prediction on wide-issue ILP processors. One is the large number of accesses to the value predicti...
Sang Jeong Lee, Pen-Chung Yew