Sequential Minimal Optimization
The value yi is +1 for the positive examples in a class and –1 for the negative examples. Using a Lagrangian, this optimization problem can be converted into a dual form which is a QP problem where the objective function is solely dependent on a set of Lagrange multipliers i, (where N is the number of training examples), subject to the inequality constraints, and one linear equality ... ................
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