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» A Comparative Evaluation of Length Estimators
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JMLR
2010
118views more  JMLR 2010»
15 years 1 months ago
On Over-fitting in Model Selection and Subsequent Selection Bias in Performance Evaluation
Model selection strategies for machine learning algorithms typically involve the numerical optimisation of an appropriate model selection criterion, often based on an estimator of...
Gavin C. Cawley, Nicola L. C. Talbot
BMCBI
2008
78views more  BMCBI 2008»
15 years 6 months ago
Evaluation of time profile reconstruction from complex two-color microarray designs
Background: As an alternative to the frequently used "reference design" for two-channel microarrays, other designs have been proposed. These designs have been shown to b...
Ana C. Fierro, Raphael Thuret, Kristof Engelen, Gi...
ICASSP
2011
IEEE
14 years 10 months ago
Maximum a posteriori based regularization parameter selection
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
Ashkan Panahi, Mats Viberg
SEW
2005
IEEE
15 years 12 months ago
Towards Software Quality Economics for Defect-Detection Techniques
There are various ways to evaluate defect-detection techniques. However, for a comprehensive evaluation the only possibility is to reduce all influencing factors to costs. There ...
Stefan Wagner
EMMCVPR
2003
Springer
15 years 11 months ago
Asymptotic Characterization of Log-Likelihood Maximization Based Algorithms and Applications
The asymptotic distribution of estimates that are based on a sub-optimal search for the maximum of the log-likelihood function is considered. In particular, estimation schemes that...
Doron Blatt, Alfred O. Hero