Training and analysis of support vector machine using sequential minimal optimization
Maximizing the classification performance of the training data is a typical procedure in training a classifier. It is well known that training a Support Vector Machine (SVM) requires the solution of an enormous quadratic programming (QP) optimization problem. Serious challenges appeared in the train...
| 出版年: | Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
2008
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-69949162490&doi=10.1109%2fICSMC.2008.4811304&partnerID=40&md5=ede1f705843f1bdb18195b1b73e8c018 |