Sentence examples for multiple regularization terms from inspiring English sources

We take into account the data specifics by incorporating multiple regularization terms into the optimization.

Since that, many different regularization terms have been proposed.

Appropriate regularization terms render the problem well-determined.

Besides, a meaningful regularization parameter is introduced for each problem in Lap-LSTSVM to balance the regularization terms between the reproducing kernel Hilbert spaces (RHKS) term and the manifold regularization (MR) term, instead of two parameters used in Lap-TSVM.

It consists of one error part and two regularization terms: the complexity term and the smoothness term.

Its level set formulation combines length, region-based and regularization terms.

Here, the divergence in the regularization terms is understood in the distributional meaning.

Thus, in this experiment, we used both results obtained by these two regularization terms.

The regularization terms are determined from hyperparameters by ηa=αa/α and ηs=αs/α.

Typical regularization terms associated with image registration problems include curvature, diffusion, elasticity, and fluid.

The method uses two kinds of regularization terms: the total variation transformation and the sparse transformation.