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masking vector vs mask vector

Both 'masking vector' and 'mask vector' are correct phrases, but they are used in different contexts. 'Masking vector' is commonly used in the context of data processing or machine learning to refer to a vector used for masking certain elements. On the other hand, 'mask vector' can be used more generally to refer to a vector used for masking purposes.

Last updated: March 28, 2024

masking vector

This phrase is correct and commonly used in the context of data processing or machine learning.

This phrase is used to refer to a vector that is used for masking certain elements, often in the context of data processing or machine learning.

Examples:

  • The masking vector is applied to the input data before feeding it into the neural network.
  • In the data preprocessing step, we create a masking vector to ignore certain features.
  • The masking vector helps to focus on specific parts of the input sequence.
  • Using a masking vector improves the performance of the model in handling missing data.
  • The algorithm requires a masking vector to filter out irrelevant information.

Alternatives:

  • mask vector
  • vector for masking

mask vector

This phrase is correct and can be used more generally to refer to a vector used for masking purposes.

This phrase can be used to refer to a vector that is used for masking purposes, without being specific to any particular field or context.

Examples:

  • We need to create a mask vector to hide certain elements in the image.
  • The mask vector is used to protect sensitive information in the database.
  • Applying a mask vector helps to obscure the underlying data.
  • The mask vector is applied to the output to prevent certain values from being displayed.
  • Using a mask vector ensures that only authorized users can access the system.

Alternatives:

  • masking vector
  • vector for masking

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