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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.
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The inner product plus intercept , + is the prediction for that sample, and is a free parameter that serves as a threshold: all predictions have to be within an range of the true predictions. Slack variables are usually added into the above to allow for errors and to allow approximation in the case the above problem is infeasible.
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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