Sentence examples for form of regularization from inspiring English sources

The new form of regularization, termed the Modified Total Generalized Variation (MTGV) regularization, offers a compromise between distinguishing discrete and smooth features in the reconstructed distributions.

In these cases, adding some form of regularization and partitioning the dataset into different subsets for training, validation and testing (cross-validation) helps.

Note that our proposed framework will utilize both of the feature spaces in the form of regularization terms, to detect advertisements of high interest to law enforcement.

We proposed a new iterative regularization method for GIB by iteratively redefining the form of regularization matrix and calculating the corresponding solution.

An efficient solution to the problem is achieved by using a new form of regularization applied to dual Dini series equations.

Though in wide use, such methods are prone to numerical instability unless numerical diffusion or some other form of regularization is used, especially for higher-order methods.

To balance the contributions from the structural prior and optical measurements, "softer" constraints, in the form of regularizations, have been investigated.

Well known forms of regularization are ridge regression [ 17] and the LASSO Least Absolute Shrinkage and Selection Operatorr) [ 18].

Here, we investigate the effect of several forms of regularization on the performance of GeneMANIA algorithm where we find the network weights by solving the following problem: where J ≥ 0 is the regularization function.

This work points out the failure of these methods for predicting the regularization parameter when coping with the, apparently trivial and here introduced, regularized mean problem; this is the simplest form of Tikhonov regularization, that, in turn, is the primal form of the learning algorithm Regularized Least Squares.

In both visual and textual applications, latent topic models have proven to be a very effective means for this, in essence offering a form of probabilistic regularization or dimensionality reduction that focuses attention on the classes most relevant to the particular example in hand.