regularizing

UK
/ˈrɛɡjʊləraɪzɪŋ/
US
/ˈrɛɡjəˌlɑɪzɪŋ/

Translations

regularizingnoun
UK
/ˈrɛɡjʊləraɪzɪŋ/
US
/ˈrɛɡjələrˌaɪzɪŋ/
Gerund used as an uncountable noun meaning “the act or process of making something regular or consistent.”
regularizinggerund / present participle
UK
/ˈrɛɡjʊləraɪzɪŋ/
US
/ˈrɛɡjəˌlɑːrɪzaɪŋ/
The regularizing effect of the new policy was immediately noticeable.
Регуляризующий эффект новой политики был сразу заметен.
regularizeverb

regularizing

Gerund

regularized
Past Simple
regularized
Past Participle
regularizing
Gerund
UK
/ˈrɛɡjʊləraɪz/
US
/ˈrɛɡjəˌlɑɪz/
The government plans to regularize the status of undocumented immigrants.
Правительство планирует урегулировать статус нелегальных иммигрантов.
The company needs to regularize its accounting practices.
Компании необходимо нормализовать свои бухгалтерские практики.
привести в порядок
We need to regularize the procedures to ensure efficiency.
Нам нужно привести в порядок процедуры, чтобы обеспечить эффективность.

Definitions

regularizingnoun
The act or process of making something regular, orderly, or systematic; regularization.
The regularizing of administrative procedures took several months.
regularizinggerund / present participle
Serving to make something regular or consistent.
The regularizing effect of the new policy helped stabilize the company's operations.
Introducing a constraint or modification intended to stabilize a mathematical or computational procedure.
A regularizing term was added to the loss function to prevent overfitting.
regularizeverb
To make something regular, consistent, or conforming to a standard.
The government plans to regularize the process to ensure fairness and transparency.
To bring something into conformity with rules or regulations.
The company had to regularize its operations to comply with the new environmental laws.
To make something official or legal.
They decided to regularize their relationship by getting married.
(mathematics, statistics) To apply a transformation or penalty that stabilizes or simplifies an ill-posed or over-parameterized problem.
To avoid overfitting, we regularize the loss function with an L1 penalty.