LevelBoost: A Boosting Algorithm Using Different Loss functions on Partitioned Data Sets
碩士 === 國立交通大學 === 電機與控制工程系 === 91 === AdaBoost is a boosting algorithm that iteratively gives data weights and trains abase classifier based on the weighted data. It is sensitive to the noise because of its exponential loss function. The weights assigned to the noisy data points will grow...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/10512127926319658296 |