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» An Improvement in Sugeno-Yasukawa Modeler
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BMCBI
2006
142views more  BMCBI 2006»
15 years 6 months ago
Improving the Performance of SVM-RFE to Select Genes in Microarray Data
Background: Recursive Feature Elimination is a common and well-studied method for reducing the number of attributes used for further analysis or development of prediction models. ...
Yuanyuan Ding, Dawn Wilkins
BMCBI
2006
153views more  BMCBI 2006»
15 years 6 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
JMS
2007
117views more  JMS 2007»
15 years 6 months ago
Closing Emergency Operating Rooms Improves Efficiency
Long waiting times for emergency operations increase a patient’s risk of postoperative complications and morbidity. Reserving Operating Room (OR) capacity is a common technique t...
Gerhard Wullink, Mark van Houdenhoven, Erwin W. Ha...
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MODELS
2009
Springer
15 years 11 months ago
On-the-Fly Construction, Correctness and Completeness of Model Transformations Based on Triple Graph Grammars
Triple graph grammars (TGGs) are a formal and intuitive concept for the specification of model transformations. Their main advantage is an automatic derivation of operational rule...
Hartmut Ehrig, Claudia Ermel, Frank Hermann, Ulrik...
ICIP
2009
IEEE
16 years 7 months ago
Edge-preserving Nonlinear Iterative Image Resampling Method
In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling alg...