Smoothness penalties are efficient regularization and dimension reduction tools for functional regressions. However, for spiky functional data observed on a dense grid, the coefficient function in a ...
We investigate the learning rate of multiple kernel learning (MKL) with ℓ 1 and elastic-net regularizations. The elastic-net regularization is a composition of an ℓ 1 -regularizer for inducing the ...
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