ACO-based Feature Selection and Classifier Parameter Optimization
碩士 === 國立高雄第一科技大學 === 資訊管理所 === 96 === Support Vector Machines (SVM) is one of the new techniques for pattern classification. The kernel parameter settings for SVM in training process can impact on the classification accuracy. A proper feature subset can also improve the classification efficiency an...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/943bta |