Randomized gradient boosting machine
The Gradient Boosting Machine (GBM) introduced by Friedman [J. H. Friedman, Ann. Statist., 29 (2001), pp. 1189-1232] is a powerful supervised learning algorithm that is very widely used in practice-it routinely features as a leading algorithm in machine learning competitions such as Kaggle and the K...
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| Format: | Article |
| Language: | English |
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Society for Industrial & Applied Mathematics (SIAM),
2021-03-17T22:25:11Z.
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| Online Access: | Get fulltext |