What is recorded here?
Formulated stagewise additive function estimation as numerical optimization in function space and developed gradient boosting algorithms for several loss functions, with tree-specific enhancements.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is Friedman's sole-author 2001 Annals of Statistics paper. It does not absorb Schapire's weak-to-strong result, AdaBoost, CART, XGBoost or every later boosting implementation; empirical claims remain limited to the paper's studies.
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- Project Euclid record for gradient boosting machine
- Stanford profile bibliography for Jerome Friedman
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People and systems
Jerome H. Friedman
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.
Research locations and affiliations
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Documented countries / regions: Australia, United States
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English catalogue narrative
Friedman: a gradient boosting machine
Formulated stagewise additive function estimation as numerical optimization in function space and developed gradient boosting algorithms for several loss functions, with tree-specific enhancements.
Scientific scope
The record is Friedman's sole-author 2001 Annals of Statistics paper. It does not absorb Schapire's weak-to-strong result, AdaBoost, CART, XGBoost or every later boosting implementation; empirical claims remain limited to the paper's studies.
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
Jerome H. Friedman
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.