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» A Data Analysis Method for Software Performance Prediction
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EMSOFT
2007
Springer
14 years 2 months ago
Optimal task placement to improve cache performance
Most recent embedded systems use caches to improve their average performance. Current timing analyses are able to compute safe timing guarantees for these systems, if tasks are ru...
Gernot Gebhard, Sebastian Altmeyer
MICCAI
2010
Springer
13 years 6 months ago
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis
The use of machine learning tools is gaining popularity in neuroimaging, as it provides a sensitive assessment of the information conveyed by brain images. In particular, finding ...
Vincent Michel, Evelyn Eger, Christine Keribin, Be...
BMCBI
2008
173views more  BMCBI 2008»
13 years 8 months ago
Improved machine learning method for analysis of gas phase chemistry of peptides
Background: Accurate peptide identification is important to high-throughput proteomics analyses that use mass spectrometry. Search programs compare fragmentation spectra (MS/MS) o...
Allison Gehrke, Shaojun Sun, Lukasz A. Kurgan, Nat...
IEEEPACT
1998
IEEE
14 years 21 days ago
Static Methods in Hybrid Branch Prediction
Hybrid branch predictors combine the predictions of multiple single-level or two-level branch predictors. The prediction-combining hardware -- the "meta-predictor" -may ...
Dirk Grunwald, Donald C. Lindsay, Benjamin G. Zorn
TCOM
2010
77views more  TCOM 2010»
13 years 3 months ago
Semi-Analytical Performance Prediction Methods for Iterative MMSE-IC Multiuser MIMO Joint Decoding
In this paper, two semi-analytical performance prediction methods are proposed and compared for multiuser MIMO transmission over block-fading multipath channels and iterative MMSE...
Raphaël Visoz, Antoine O. Berthet, Massinissa...