regularizing

UK
/ˈrɛɡjʊləraɪzɪŋ/
US
/ˈrɛɡjəˌlɑɪzɪŋ/
regularizingсуществительное
UK
/ˈrɛɡjʊləraɪzɪŋ/
US
/ˈrɛɡjələrˌaɪzɪŋ/
Gerund used as an uncountable noun meaning “the act or process of making something regular or consistent.”
Определения
The act or process of making something regular, orderly, or systematic; regularization.
The regularizing of administrative procedures took several months.
regularizingгерундий или причастие настоящего времени
UK
/ˈrɛɡjʊləraɪzɪŋ/
US
/ˈrɛɡjəˌlɑːrɪzaɪŋ/
Переводы
The regularizing effect of the new policy was immediately noticeable.
Регуляризующий эффект новой политики был сразу заметен.
Определения
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.
regularizeглагол

regularizing

Герундий

regularized
Прошедшее простое время
regularized
Причастие прошедшего времени
regularizing
Герундий
UK
/ˈrɛɡjʊləraɪz/
US
/ˈrɛɡjəˌlɑɪz/
Переводы
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.
Определения
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.