structured sparsity regularization造句

Structured Sparsity regularization can be applied in the context of multiple kernel learning.
In the structured sparsity regularization approach to this scenario, the relevant groups of variables which the group norms consider correspond to the subspaces H _ A and H _ B.
The norm mentioned above can be seen as the group norm in H associated to the subspaces H _ A, H _ B, providing a connection to structured sparsity regularization.
"' Structured sparsity regularization "'is a class of methods, and an area of research in statistical learning theory, that extend and generalize sparsity regularization learning methods.
In several situations we may want to impose more structure in the regularization process, so that, for example, input variables are suppressed according to predefined groups . "'Structured sparsity regularization methods "'allow to impose such structure by adding structure to the norms defining the regularization term.
It's difficult to find structured sparsity regularization in a sentence. 用structured sparsity regularization造句挺难的