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» A Machine Learning Approach for Statistical Software Testing
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ICML
2010
IEEE
14 years 10 months ago
Learning the Linear Dynamical System with ASOS
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...
James Martens
ICML
2009
IEEE
15 years 10 months ago
Online dictionary learning for sparse coding
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
BMCBI
2006
126views more  BMCBI 2006»
14 years 9 months ago
A minimally invasive multiple marker approach allows highly efficient detection of meningioma tumors
Background: The development of effective frameworks that permit an accurate diagnosis of tumors, especially in their early stages, remains a grand challenge in the field of bioinf...
Andreas Keller, Nicole Ludwig, Nicole Comtesse, An...
KBSE
2007
IEEE
15 years 4 months ago
Context-aware statistical debugging: from bug predictors to faulty control flow paths
Effective bug localization is important for realizing automated debugging. One attractive approach is to apply statistical techniques on a collection of evaluation profiles of pr...
Lingxiao Jiang, Zhendong Su
ENTCS
2010
99views more  ENTCS 2010»
14 years 9 months ago
State Based Robustness Testing for Components
Component based development allows to build software upon existing components and promises to improve software reuse and reduce costs. To gain reliability of a component based sys...
Bin Lei, Zhiming Liu, Charles Morisset, Xuandong L...