Protected: Structural regularization learning using submodular optimization (2) Structural sparsity obtained from submodular functions
Structural regularization learning (coupled Lasso and Lovász extensions) by structural sparsity obtained from submodular functions in submodular optimization, an optimization method for discrete information used in digital transformation, artificial intelligence, and machine learning tasks.