Support Vector Machines

nounverified·updated Aug 28, 2026

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A supervised machine learning model for data classification and regression analysis. One of the most used classifiers in machine learning. It optimizes the width of the gap between the points of separate categories in feature space.

Framework senses

2 senses across 2 frameworks

Artificial Intelligence in Medical Imaging: Opportunities, Applications and Risks1 senseview framework →

§1: A supervised machine learning model for data classification and regression analysis. One of the most used classifiers in machine learning. It optimizes the width of the gap between the points of separate categories in feature space.

Legacy lexicon import1 senseview framework →

§1 · legacy_primary: A supervised machine learning model for data classification and regression analysis. One of the most used classifiers in machine learning. It optimizes the width of the gap between the points of separate categories in feature space.
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