What is DAL? DAL is an efficient and flexibible toolbox for solving the following optimization problem. where A (m x n) is a design matrix, f is a loss function, and c is a measure of sparsity. DAL can handle your favorite (convex, smooth) loss functions. DAL can handle several "sparsity" measures in an unified way. Currently L1 and grouped L1 measures are supported. DAL is efficient when mâªn (m:
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