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Support-Vector Networks C Cortes and V Vapnik

Support-Vector Networks C Cortes and V Vapnik. 12.04.26.(Tue) Computational Models of Intelligence Joon Shik Kim. Introduction. The support-vector network is a new learning machine for two-group classification problems.

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Support-Vector Networks C Cortes and V Vapnik

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  1. Support-Vector NetworksC Cortes and V Vapnik 12.04.26.(Tue) Computational Models of Intelligence Joon Shik Kim

  2. Introduction • The support-vector network is a new learning machine for two-group classification problems. • Input vectors are non-linearly mapped to a very high dimension feature space. • In this feature space a linear decision surface is constructed.

  3. Graphical Description of SVM

  4. Optimal HyperplaneAlgorithm (1/2) • The set of labeled training patterns is said to be linearly separable if there exists a vector w and a scalar b such that the inequalities if if

  5. Optimal HyperplaneAlgorithm (2/2) • The optimal hyperplane • Distance is given by

  6. Lagrangian (1/2)

  7. Lagrangian (2/2)

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