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» An extensive comparison of bug prediction approaches
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BMCBI
2006
146views more  BMCBI 2006»
13 years 9 months ago
Recursive gene selection based on maximum margin criterion: a comparison with SVM-RFE
Background: In class prediction problems using microarray data, gene selection is essential to improve the prediction accuracy and to identify potential marker genes for a disease...
Satoshi Niijima, Satoru Kuhara
ECML
2005
Springer
14 years 3 months ago
Error-Sensitive Grading for Model Combination
Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
Surendra K. Singhi, Huan Liu
ICIP
2006
IEEE
14 years 11 months ago
On Performance Comparison of Real and Synthetic Iris Images
In the absence of real data for extensive testing of newly designed large-scale biometrics recognition systems a number of solutions are possible including use of resampling metho...
Jinyu Zuo, Natalia A. Schmid, Xiaohan Chen
ECRTS
2005
IEEE
14 years 3 months ago
Cache Contents Selection for Statically-Locked Instruction Caches: An Algorithm Comparison
Cache memories have been extensively used to bridge the gap between high speed processors and relatively slower main memories. However, they are sources of predictability problems...
Antonio Martí Campoy, Isabelle Puaut, Angel...
DATE
2010
IEEE
137views Hardware» more  DATE 2010»
14 years 2 months ago
Deterministic, predictable and light-weight multithreading using PRET-C
—We present a new language called Precision Timed C, for predictable and lightweight multithreading in C. PRET-C supports synchronous concurrency, preemption, and a high-level co...
Sidharta Andalam, Partha S. Roop, Alain Girault