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Semifinalist (talk | contribs) No edit summary |
infobox; remove "efficient" from lead, as SMO has worst-case cubic runtime, and has been largely abandoned by the large-scale ML community |
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{{Infobox Algorithm
'''Sequential minimal optimization''' ('''SMO''') is an algorithm for efficiently solving the optimization problem which arises during the training of [[support vector machine]]s. It was invented by [[John Platt (Principal Researcher)|John Platt]] in 1998 at [[Microsoft Research]].<ref>{{Citation▼
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|class=[[Optimization algorithm]] for training support vector machines
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|time=O(''n''³)
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▲'''Sequential minimal optimization''' ('''SMO''') is an algorithm for
| last = Platt | first = John
| year = 1998
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