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» On Feature Selection, Bias-Variance, and Bagging
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PKDD
2009
Springer
116views Data Mining» more  PKDD 2009»
9 years 4 months ago
On Feature Selection, Bias-Variance, and Bagging
M. Arthur Munson, Rich Caruana
MCS
2010
Springer
9 years 10 days ago
Tomographic Considerations in Ensemble Bias/Variance Decomposition
Abstract. Classifier decision fusion has been shown to act in a manner analogous to the back-projection of Radon transformations when individual classifier feature sets are non o...
David Windridge
IMSCCS
2007
IEEE
9 years 4 months ago
Asymmetric Bagging and Feature Selection for Activities Prediction of Drug Molecules
Background: Activities of drug molecules can be predicted by QSAR (quantitative structure activity relationship) models, which overcomes the disadvantages of high cost and long cy...
Guo-Zheng Li, Hao-Hua Meng, Mary Qu Yang, Jack Y. ...
PAMI
2006
206views more  PAMI 2006»
8 years 10 months ago
MILES: Multiple-Instance Learning via Embedded Instance Selection
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...
Yixin Chen, Jinbo Bi, James Ze Wang
EUSFLAT
2009
158views Fuzzy Logic» more  EUSFLAT 2009»
8 years 8 months ago
Bi-criteria Genetic Selection of Bagging Fuzzy Rule-based Multiclassification Systems
Previously we proposed a scheme to generate fuzzy rule-based multiclassification systems by means of bagging, mutual information-based feature selection, and a multicriteria geneti...
Krzysztof Trawinski, Arnaud Quirin, Oscar Cord&oac...
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