reduction range - traduzione in russo
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In questa pagina puoi ottenere un'analisi dettagliata di una parola o frase, prodotta utilizzando la migliore tecnologia di intelligenza artificiale fino ad oggi:

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  • frequenza di utilizzo
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  • etimologia

reduction range - traduzione in russo

PROCESS OF REDUCING THE NUMBER OF RANDOM VARIABLES UNDER CONSIDERATION
Dimension reduction; Dimensionality Reduction; Dimensionality reduction algorithm; Linear dimensionality reduction
  • A visual depiction of the resulting LDA projection for a set of 2D points.
  • A visual depiction of the resulting PCA projection for a set of 2D points.

reduction range      
[полигр., фото] величина уменьшения
reduction range      
диапазон [интервал] масштаба уменьшения
closed reduction         
ORTHOPAEDIC SURGICAL PROCEDURE
Bone reduction; Fracture reduction; Reduction of fracture; Closed reduction of fracture; Open reduction of fracture; Reponated; Reponate; Reponation; Closed reduction

медицина

закрытое вправление

закрытая репозиция

Definizione

Брукса хребет
(Brooks Range)

горный хребет на С. Аляски. Длина около 1000 км, ширина до 200 км. Преобладающие высоты 1500-2000 м, наибольшая высота 2816 м (г. Майклсон). Сложен породами преимущественно нижнепалеозойского возраста (известняки, кварциты, сланцы, песчаники). Глубоко расчленён долинами рек. Широко распространены древние ледниковые формы. Небольшие современные ледники. Служит водоразделом между реками арктического склона и бассейном р. Юкон. Растительность - горная тундра; характерны каменистые россыпи и обнажённые скалы.

Wikipedia

Dimensionality reduction

Dimensionality reduction, or dimension reduction, is the transformation of data from a high-dimensional space into a low-dimensional space so that the low-dimensional representation retains some meaningful properties of the original data, ideally close to its intrinsic dimension. Working in high-dimensional spaces can be undesirable for many reasons; raw data are often sparse as a consequence of the curse of dimensionality, and analyzing the data is usually computationally intractable (hard to control or deal with). Dimensionality reduction is common in fields that deal with large numbers of observations and/or large numbers of variables, such as signal processing, speech recognition, neuroinformatics, and bioinformatics.

Methods are commonly divided into linear and nonlinear approaches. Approaches can also be divided into feature selection and feature extraction. Dimensionality reduction can be used for noise reduction, data visualization, cluster analysis, or as an intermediate step to facilitate other analyses.

Traduzione di &#39reduction range&#39 in Russo