Using Factorial Experiments to Discover Important Features of Support Vector Machine and Building the Minimum Cost Diagnosis Model
碩士 === 中華大學 === 資訊管理學系 === 95 === The purpose of this study is to employ design of experiments (DOE) to discover important features to build simple but accurate model for support vector machine (SVM). Its basic principle is to regard selecting or do not selecting a feature as a two-level independent...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/87421753777699752187 |