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» A framework for early robustness assessment
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ESANN
2008
13 years 7 months ago
A method for robust variable selection with significance assessment
Our goal is proposing an unbiased framework for gene expression analysis based on variable selection combined with a significance assessment step. We start by discussing the need ...
Annalisa Barla, Sofia Mosci, Lorenzo Rosasco, Ales...
CVPR
2004
IEEE
14 years 7 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
BMCBI
2007
139views more  BMCBI 2007»
13 years 5 months ago
Bioinformatics analysis of the early inflammatory response in a rat thermal injury model
Background: Thermal injury is among the most severe forms of trauma and its effects are both local and systemic. Response to thermal injury includes cellular protection mechanisms...
Eric Yang, Timothy Maguire, Martin L. Yarmush, Fra...
ESEM
2007
ACM
13 years 7 months ago
Assessing, Comparing, and Combining Statechart- based testing and Structural testing: An Experiment
An important number of studies have addressed the importance of models in software engineering, mainly in the design of robust software systems. Although models have been proven t...
Samar Mouchawrab, Lionel C. Briand, Yvan Labiche
AIED
2005
Springer
13 years 11 months ago
Tradeoff analysis between knowledge assessment approaches
Abstract: The problem of modeling and assessing an individual’s ability level is central to learning environments. Numerous approaches exists to this end. Computer Adaptive Testi...
Michel Desmarais, Shunkai Fu, Xiaoming Pu