Sequential minimal optimization: Difference between revisions

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'''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

| last = Platt | first = John

| year = 1998