What is recorded here?
Introduced bootstrap aggregating: fit predictors to bootstrap replicates of a learning set and combine their outputs by averaging or voting, with experiments on unstable prediction procedures.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is Breiman's sole-author 1996 Machine Learning article, preceded by a 1994 Berkeley technical report. It does not absorb boosting, random forests, later variance analyses or every ensemble method.
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People and systems
Leo Breiman
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
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Documented countries / regions: United States
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English catalogue narrative
Breiman: bagging predictors
Introduced bootstrap aggregating: fit predictors to bootstrap replicates of a learning set and combine their outputs by averaging or voting, with experiments on unstable prediction procedures.
Scientific scope
The record is Breiman's sole-author 1996 Machine Learning article, preceded by a 1994 Berkeley technical report. It does not absorb boosting, random forests, later variance analyses or every ensemble method.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Leo Breiman
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.