What is recorded here?
Derived an adaptive boosting algorithm from multiplicative weight updates, removing the need to know a weak learner’s performance in advance and analyzing the method in a general decision-theoretic setting.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
The record is the 1997 Journal of Computer and System Sciences article. Its 1995 extended abstract, Schapire’s earlier boosting result, later margin explanations, gradient boosting and XGBoost remain separate.
Read the original work
- Journal article introducing decision-theoretic AdaBoost
- Robert Schapire publication list and author copy
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Yoav Freund; Robert E. Schapire
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: United States
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English catalogue narrative
Freund and Schapire: decision-theoretic boosting and AdaBoost
Derived an adaptive boosting algorithm from multiplicative weight updates, removing the need to know a weak learner’s performance in advance and analyzing the method in a general decision-theoretic setting.
Scientific scope
The record is the 1997 Journal of Computer and System Sciences article. Its 1995 extended abstract, Schapire’s earlier boosting result, later margin explanations, gradient boosting and XGBoost remain separate.
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
Yoav Freund; Robert E. Schapire
The named authors contributed to this scoped work; individual effort shares and later applications are not assigned by the byline.