Classification and Rule Extraction with SVM: Theory and Application
博士 === 國立清華大學 === 工業工程與工程管理學系 === 100 === Recently, the development of machine-learning techniques has provided an effective analysis tool for classification problems. The support vector machine (SVM) is one of the most popular supervised learning techniques. However, the SVM may not effectively det...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/55102138394383380751 |