Sentence examples for by the regularization parameter from inspiring English sources

Typically, the strength of the L1-penalization is determined by the regularization parameter λ.

Our results show that the TPS approach is effective, as it is able to create a globally smooth surface whose properties are easily controlled by the regularization parameter and the number of control points used.

We have tested 15 tuning methods on the case studies by comparing the regularization parameter selected by each tuning method with the optimal regularization parameter which minimizes the prediction error (i.e. the one with the best bias-variance trade-off).

We force any inversion model to be isotropic by setting the regularization parameter for anisotropy to a value of 106.

Second, we apply a refinement of the Multi-Task Sparse Learning (MTSL) framework to exploit the relationships among multiple shared tasks generated by changing the regularization parameter during the recognition stage.

The RSF method implies no preference to any prior model information (i.e., I) and balanced minimization of the systematic and noise error measures in (9), (11) by adjusting the regularization parameter to the inverse of the signal-to-noise ratio (SNR).

By decreasing the regularization parameter, the weights of the features gradually increase, making the model more complex.

In the rare situation in which a sparsity level was unreachable (by modifying the regularization parameter) the inference accuracy was assumed to be the average of the accuracies from the adjacent sparsity levels.

We report receiver operator curves (ROC) computed by varying the regularization parameter λ, precision recall (PR) curves, and true and false positive rates for fixed λ as estimated via stability selection.

To determine the optimal step length (the minimal value by which the regularization parameter must be decreased in order for the active set to change), we need to solve a similar problem, this time involving the ratio of two separate frequent itemset mining optimization problems.

Comparing the images from (g - j) and (d), we find that by adjusting - j regulandzation parameter λ we are able to tune the strength of the priors: with an increasing λ, the reconstructed images blend towerd the compositional map as we are giving more weight to the priors; with a small λ, on the other hand, the result approaches that ofinde prior-free reconsthattion.