Question: 1 i=1 Q-4: - Support Vector Machines and Classification (CLO 5) (10 Marks) 1 1. Considering the SVM original equation max. W(a) = a; a;azy:9;x?x;

1 i=1 Q-4: - Support Vector Machines and Classification (CLO 5)

1 i=1 Q-4: - Support Vector Machines and Classification (CLO 5) (10 Marks) 1 1. Considering the SVM original equation max. W(a) = a; a;azy:9;x?x; 2 a) Derive the modified equation with the Kernel Function? 2. Recalling the concepts of Principal Component Analysis, how can we remove noise in the data sample shown by Figure 3. Give the mathematical model and flow chart of the process. Figure 3 1 i=1 Q-4: - Support Vector Machines and Classification (CLO 5) (10 Marks) 1 1. Considering the SVM original equation max. W(a) = a; a;azy:9;x?x; 2 a) Derive the modified equation with the Kernel Function? 2. Recalling the concepts of Principal Component Analysis, how can we remove noise in the data sample shown by Figure 3. Give the mathematical model and flow chart of the process. Figure 3

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