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3. THIS QUESTION HAS ONLY SUBPARTS (a) Define Singular-Value Decomposition and explain what determines the dimension of the square matrix. (b) Kernelization: describe the technique

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3. THIS QUESTION HAS ONLY SUBPARTS (a) Define Singular-Value Decomposition and explain what determines the dimension of the square matrix. (b) Kernelization: describe the technique in terms of mappings between input and feature space and define at least one of the types of kernel functions seen in class

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