例句與造句

1. Proximal gradient methods provide a general framework which is applicable to a wide variety of problems in statistical learning theory.
2. Two main approaches for solving the optimization problem are : 1 ) greedy methods, such as proximal gradient optimization methods.
3. "' Proximal gradient methods "'are a generalized form of projection used to solve non-differentiable convex optimization problems.
4. Proximal gradient methods offer a general framework for solving regularization problems from statistical learning theory with penalties that are tailored to a specific problem application.
5. There have been numerous developments within the past decade in convex optimization techniques which have influenced the application of proximal gradient methods in statistical learning theory.
6. It's difficult to find proximal gradient in a sentence. 用proximal gradient造句挺難的
7. Lasso regularized models can be fit using a variety of techniques including subgradient methods, least-angle regression ( LARS ), and proximal gradient methods.
8. By writing the proximal gradient with respect to a given coefficient, w _ g ^ i, it can be seen that this norm enforces a group-wise soft threshold
9. Algorithms for solving these group sparsity problems extend the more well-known Lasso and group Lasso methods by allowing overlapping groups, for example, and have been implemented via matching pursuit : and proximal gradient methods.