| 21. | The parameters of the maximum-margin hyperplane are derived by solving the optimization.
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| 22. | N is a normal vector of this hyperplane.
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| 23. | Hence, there must be a separating hyperplane.
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| 24. | Logical knowledge is represented by linear equations, or geometrically, a certainty hyperplane.
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| 25. | The hyperplane arrangement can be constructed from a cuboctahedron ( a platonic solid ):
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| 26. | Change of normalisation : mapping the null cone from the hyperplane to the hyperplane.
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| 27. | Change of normalisation : mapping the null cone from the hyperplane to the hyperplane.
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| 28. | Also, let be the hyperplane that splits the longest side of in two.
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| 29. | Any hyperplane can be written as the set of points \ mathbf { x } satisfying
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| 30. | In the first version of the theorem, evidently the separating hyperplane is never unique.
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