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CVPR
2011
IEEE
14 years 3 months ago
Adaptive Random Forest - How many ``experts'' to ask before making a decision?
How many people should you ask if you are not sure about your way? We provide an answer to this question for Random Forest classification. The presented method is based on the st...
Alexander Schwing, Christopher Zach, Yefeng Zheng,...
DSD
2005
IEEE
96views Hardware» more  DSD 2005»
15 years 1 months ago
Improvement of the Fault Coverage of the Pseudo-Random Phase in Column-Matching BIST
Several methods improving the fault coverage in mixed-mode BIST are presented in this paper. The test is divided into two phases: the pseudo-random and deterministic. Maximum of f...
Peter Filter, Hana Kubatova
PG
2007
IEEE
15 years 6 months ago
Statistical Hypothesis Testing for Assessing Monte Carlo Estimators: Applications to Image Synthesis
Image synthesis algorithms are commonly compared on the basis of running times and/or perceived quality of the generated images. In the case of Monte Carlo techniques, assessment ...
Kartic Subr, James Arvo
ICSE
1997
IEEE-ACM
15 years 3 months ago
A Theory of Probabilistic Functional Testing
We propose a framework for “probabilistic functional testing.” The success of a test data set generated according to our method guarantees a certain level of confidence into ...
Gilles Bernot, Laurent Bouaziz, Pascale Le Gall
GECCO
2009
Springer
129views Optimization» more  GECCO 2009»
15 years 3 months ago
Evolutionary functional testing of continuous control systems
Evolutionary functional testing is an approach to automatically generating test cases that violate a certain functional system requirement. This paper proposes an approach suitabl...
Andreas Windisch, Felix Lindlar, Sebastian Topuz, ...