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» Ranking and selection for steady-state simulation
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BMCBI
2010
224views more  BMCBI 2010»
13 years 7 months ago
An adaptive optimal ensemble classifier via bagging and rank aggregation with applications to high dimensional data
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
Susmita Datta, Vasyl Pihur, Somnath Datta
BMCBI
2006
198views more  BMCBI 2006»
13 years 7 months ago
Gene selection and classification of microarray data using random forest
Background: Selection of relevant genes for sample classification is a common task in most gene expression studies, where researchers try to identify the smallest possible set of ...
Ramón Díaz-Uriarte, Sara Alvarez de ...
BMCBI
2010
106views more  BMCBI 2010»
13 years 7 months ago
Selection of optimal reference genes for normalization in quantitative RT-PCR
Background: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introdu...
Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean...
ISBMS
2010
Springer
13 years 9 months ago
Comparing Automatic Simulator Assessment with Expert Assessment of Virtual Surgical Procedures
This study focuses on the comparison of expert assessment of virtual surgical procedures through Objective Structured Assessment of Technical Skills (OSATS) with the automatic asse...
Stefan Tuchschmid, Michael Bajka, Matthias Harders
WSC
2004
13 years 9 months ago
Applying Statistical Control Techniques to Air Traffic Simulations
While the literature contains several adaptive sampling techniques for statistical comparison of competing simulated system configurations and for embedded statistical computation...
Kirk C. Benson, David Goldsman, Amy R. Pritchett