Random Subspace Methods with Automatic Selecting Parameter based on Kernel Smoothing
碩士 === 國立臺中教育大學 === 教育測驗統計研究所 === 94 === In high dimensional data, how to solve small size problem is very important in many research domain. Random Subspace Method is a multiple classifier systems and has been shown that is a good approach to overcome small sample problems. In original Random Sub...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/10699344897558300034 |