Improved Adaboost Algorithm for Classification Based on Noise Confidence Degree and Weighted Feature Selection
Adaboost is a typical ensemble learning algorithm and has been studied and widely used in classification tasks. In order to improve the classification performance of existing Adaboost algorithms effectively, a noise confidence degree and weighted feature selection based Adaboost algorithm (called NW...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9169884/ |