64 search results - page 1 / 13 » Out-of-bag estimation of the optimal sample size in bagging |
PR
2010
13 years 6 months ago
2010
The performance of m-out-of-n bagging with and without replacement in terms of the sampling ratio (m/n) is analyzed. Standard bagging uses resampling with replacement to generate ...
BMCBI
2006
13 years 7 months ago
2006
Background: Supervised learning for classification of cancer employs a set of design examples to learn how to discriminate between tumors. In practice it is crucial to confirm tha...
ENVSOFT
2007
13 years 7 months ago
2007
The SISSI program implements a novel approach for the estimation of the optimal sample size in experimental data collection. It provides avisual evaluation system of sample size d...
JMLR
2010
13 years 6 months ago
2010
Bagging is a simple way to combine estimates in order to improve their performance. This method, suggested by Breiman in 1996, proceeds by resampling from the original data set, c...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Linear and Quadratic Discriminant Analysis have been used widely in many areas of data mining, machine learning, and bioinformatics. Friedman proposed a compromise between Linear ...