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| title = Everything Old is New Again: a Fresh Look at Historical Approaches in Machine Learning
| journal = Ph.D. thesis
| pages =
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== Algorithm ==
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SMO breaks up large QP problems into a series of smallest possible QP problems, which are then solved analytically.
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* [http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]
{{Optimization algorithms}}▼
{{DEFAULTSORT:Sequential Minimal Optimization}}
[[Category:Optimization algorithms]]
[[Category:Machine learning]]
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▲{{Optimization algorithms}}
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