FlexBoost: A Flexible Boosting Algorithm With Adaptive Loss Functions
Adaptive Boosting (AdaBoost) is a representative boosting algorithm that can build a strong classifier by optimally combining weak classifiers in such a way that subsequent weak classifiers are tweaked in favor of instances misclassified by previous classifiers. However, AdaBoost is known to be susc...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8821290/ |