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SVMA utilizes works from private collections, artists, public institutions and related sources for their exhibitions. Every year the museum showcases the work of regional 4th and 5th graders in Art Rewards the Student. In 2019, approximately 12,700 visitors attended exhibitions and educational programming at the museum.
In machine learning, support vector machines (SVMs, also support vector networks [1]) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis.
In machine learning, kernel machines are a class of algorithms for pattern analysis, whose best known member is the support-vector machine (SVM). These methods involve using linear classifiers to solve nonlinear problems. [1]
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