Support Vector Machine

Support Vector Machine PowerPoint PPT Presentation


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1 Introduction. Linear classifierWith an appropriate nonlinear mapping function to a sufficiently high dimension.. yk = ?(xk)g(y) = atyzk*g(yk) ? 1With margin: zk*g(yk) / ||a|| ? bzk = {-1,1}. Introduction . Training a SVM need to minimize ||a||, so that we can get the optimal margin.To mi

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Support Vector Machine

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1. Support Vector Machine

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