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Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

✍ Scribed by Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert

Book ID
125544918
Publisher
Institute of Mathematical Statistics
Year
2000
Tongue
English
Weight
728 KB
Volume
28
Category
Article
ISSN
0090-5364

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Additive logistic regression: a statisti
Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)
✍ Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert πŸ“‚ Article πŸ“… 2000 πŸ› Institute of Mathematical Statistics 🌐 English βš– 728 KB

Boosting is one of the most important recent developments in classification methodology. Boosting works by sequentially applying a classification algorithm to reweighted versions of the training data and then taking a weighted majority vote of the sequence of classifiers thus produced. For many clas