Gradient Boosting Machine with Partially Randomized Decision Trees
The gradient boosting machine is a powerful ensemble-based machine learning method for solving regression problems. However, one of the difficulties of its using is a possible discontinuity of the regression function, which arises when regions of training data are not densely covered by training poi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2021-01-01
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| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/fruct28/files/Kon.pdf |