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@ -370,7 +370,9 @@ subject to the following constraint:
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sum(alpha) == nu*y.size()
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0 <= min(alpha) && max(alpha) <= 1
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trans(y)*alpha == 0
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Where f is convex. This means that Q should be symmetric and positive-semidefinite.
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Where all elements of y must be equal to +1 or -1 and f is convex.
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This means that Q should be symmetric and positive-semidefinite.
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</pre>
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<br/>
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This object implements the strategy used by the LIBSVM tool. The following papers
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