USING A HEURISTIC MODEL TO IMPROVE THE EFFICIENCY OF SUPPORT VECTOR MACHINES
碩士 === 大同大學 === 資訊經營學系(所) === 92 === Support Vector Machines (SVM) have become increasingly popular tools for many data mining tasks. It can be used in classification, novelty detection, regression, and clustering. It has been successfully applied to a lot of applications about text categorization,...
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| Format: | Others |
| Language: | en_US |
| Published: |
2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/86227548536446851567 |