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svms

 

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SVMs

Definition:

SVMs (Support Vector Machines) are supervised machine learning models used for classification and regression analysis. They construct hyperplanes or decision boundaries to separate data points into different classes.

Senses/Usages:

Sense 1:

As a noun, SVMs refer to the machine learning models based on the statistical algorithm known as the Support Vector Machine.

Example sentence: SVMs are widely used in various applications such as image classification and text analysis.

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Sense 2:

As a plural noun, SVMs can be used to represent Support Vector Machines collectively.

Example sentence: Researchers are continuously developing new techniques to improve the performance of SVMs in real-time applications.

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Sense 3:

As an abbreviation, SVMS can stand for "Statewide Voter Management System," which is a digital platform used for managing voter registration and election-related processes at a state level.

Example sentence: The implementation of SVMS has streamlined the voter registration process, resulting in improved efficiency and accuracy.

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