Applying Discriminant Functions with One-Class SVMs for Multi-Class Classification
碩士 === 國立中山大學 === 電機工程學系研究所 === 95 === AdaBoost.M1 has been successfully applied to improve the accuracy of a learning algorithm for multi-class classification problems. However, it assumes that the performance of each base classifier must be better than 1/2, and this may be hard to achieve in pract...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/4pu84f |