285 search results - page 8 / 57 » A fuzzy random forest |
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CATA
2008
14 years 11 months ago
2008
The diagnosis of cancer type based on microarray data offers hope that cancer classification can be highly accurate for clinicians to choose the most appropriate forms of treatmen...
ICIP
2010
IEEE
14 years 7 months ago
2010
IEEE
Random forests ensemble classifier showed to be suitable for classifying mutlisource data such as lidar and RGB image for urban scene mapping. However, two major problems remain :...
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CVPR
2011
IEEE
14 years 1 months ago
2011
IEEE
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...
BMCBI
2008
14 years 9 months ago
2008
Background: Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular sig...
ECML
2004
Springer
15 years 2 months ago
2004
Springer
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...