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
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| Online Access: | https://hdl.handle.net/1721.1/130168 |