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- Design_bagging abstract "In machine learning, bagging, also called bootstrap aggregating, is an important primitive. Design bagging is by far the most accurate variant of bagging. This improved form of bagging is proposed by Zhu Cao et al. It is theoretically proven to strictly dominate the standard form under mild assumptions. Improvements in experiment studies are consistent; given the wide-spread usage of bagging, this practical result is important.".
- Design_bagging wikiPageID "42579148".
- Design_bagging wikiPageRevisionID "606136080".
- Design_bagging subject Category:Computational_statistics.
- Design_bagging subject Category:Ensemble_learning.
- Design_bagging subject Category:Machine_learning_algorithms.
- Design_bagging comment "In machine learning, bagging, also called bootstrap aggregating, is an important primitive. Design bagging is by far the most accurate variant of bagging. This improved form of bagging is proposed by Zhu Cao et al. It is theoretically proven to strictly dominate the standard form under mild assumptions. Improvements in experiment studies are consistent; given the wide-spread usage of bagging, this practical result is important.".
- Design_bagging label "Design bagging".
- Design_bagging sameAs m.010vvfp0.
- Design_bagging wasDerivedFrom Design_bagging?oldid=606136080.
- Design_bagging isPrimaryTopicOf Design_bagging.