Feature Selection using Nested Binary Particle Swarm Optimization
碩士 === 國立高雄應用科技大學 === 電子與資訊工程研究所碩士班 === 94 === The feature selection process can be considered a problem of global combinatorial optimization in machine learning, which reduces the number of features, removes irrelevant, noisy and redundant data, and results in acceptable classification accuracy. Fe...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/66324309758713191583 |