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In theory, the kernel of two vectors is equal to the dot-product of them in feature space, i.e. k(x1,x2)=, but practically this seems tricky! Suppose that we trained a kernel mapping such as...
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I want to solve the following optimization problem: min_x { f(x) + lambda * ||x||1 } There are many source codes for solving L1-norm Regularization problems, but their loss functions are...
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