A Multi-Class SVM Classification System Based on Methods of Self-Learning and Error Filtering
碩士 === 國立中正大學 === 資訊工程所 === 95 === This study uses Support Vector Machine (SVM) to deal with multi-class classification. It coordinates several data retrieving techniques including word segmentation, term weighting and feature extraction to achieve Chinese text classification. To improve system accu...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/21380011516814819107 |