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» Regressor selection with the analysis of variance method
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ESANN
2006
14 years 11 months ago
Random Forests Feature Selection with K-PLS: Detecting Ischemia from Magnetocardiograms
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
Long Han, Mark J. Embrechts, Boleslaw K. Szymanski...
VCIP
2003
170views Communications» more  VCIP 2003»
14 years 11 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger
DSP
2007
14 years 9 months ago
Feasibility of impact-acoustic emissions for detection of damaged wheat kernels
A non-destructive, real time device was developed to detect insect damage, sprout damage, and scab damage in kernels of wheat. Kernels are impacted onto a steel plate and the resu...
Tom C. Pearson, A. Enis Çetin, Ahmed H. Tew...
AUTOMATICA
2008
88views more  AUTOMATICA 2008»
14 years 9 months ago
Parameter ranking by orthogonalization - Applied to nonlinear mechanistic models
The paper addresses methods for parameter sensitivity analysis in a large, nonlinear, mechanistic model which is to be run in an online estimation scheme. The parameter sensitivit...
Berit Floor Lund, Bjarne A. Foss
130
Voted
PRIB
2010
Springer
242views Bioinformatics» more  PRIB 2010»
14 years 8 months ago
Consensus of Ambiguity: Theory and Application of Active Learning for Biomedical Image Analysis
Abstract. Supervised classifiers require manually labeled training samples to classify unlabeled objects. Active Learning (AL) can be used to selectively label only “ambiguous...
Scott Doyle, Anant Madabhushi