Reduction Techniques for Training Support Vector Machines
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 90 === Recently two kinds of reduction techniques which aimed at saving training time for SVM problems with nonlinear kernels were proposed. Instead of solving the standard SVM formulation, these methods explicitly alter the SVM formulation, and solutions f...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2002
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| Online Access: | http://ndltd.ncl.edu.tw/handle/60505360685138998940 |