INTEGRATING BINARY PARTICLE SWARM OPTIMIZATION AND GENETIC ALGORITHM FOR FEATURE SELECTION IN TEXT CLASSIFICATION
碩士 === 大同大學 === 資訊經營學系(所) === 99 === Feature selection has been proved to be very important for classification. There are some statistical approaches, such as Information Gain, Mutual Information, andχ2, etc. The features are measured one by one, therefore the inference of combination of features is...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2011
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| Online Access: | http://ndltd.ncl.edu.tw/handle/59314007796932477306 |