regularization
regularisation BrE

Otherwise, it is necessary to perform some kind of regularization.

"A massive and total regularization would lead to the sort of catastrophe we know today."

Also the choice of suitable regularization parameters is a problem.

The second is to use some form of regularization.

They can also be considered a special case of Tikhonov regularization.

"Regularization does not mean rewarding those who break the law.

You'd get to like the false regularization and acceptance that had been done to the people.

Additional terms in the training cost function can easily perform regularization of the final model.

These problems can often be solved by imposing some form of regularization.

People who had got their regularization often brought their families to Israel as well.

The regularized approach is related to the concept of regularization.

Regularization means that we give legal rights to people who are already contributing to this great nation."

Often this cost function includes some form of regularization.

The graph is used to approximate the intrinsic regularization term.

Various regularization techniques can be applied in such cases, the most common of which is called ridge regression.

Regularization typically results in a lower variance model at the expense of bias.

For example, the least-squares method can be viewed as a very simple form of regularization.

The result is equivalent to what can be derived from dimensional regularization.

In addition, oscillations may occur which are induced by the regularization.

Another problem arose when the crown ordered the regularization of all land property titles.

He also published a paper on regularization methods in mechanics in 1912.

In statistics and machine learning, regularization is used to prevent overfitting.

Using boosted decision trees, one can enable implicit data sharing and regularization.

However, it was found to be a regularization suitable also for perturbative calculations.

The regularization parameter plays a critical role in the denoising process.