Date of Award
Master of Science (MS)
Dr. Qiuming Zhu
Introduction: A classifier is a hyperplane that separates data into different categories or classes. A trainable classifier is a classifier that may make its performance better in response to information it receives and tasks it takes. Training is the process by which the parameters of a function are adjusted in response to categories or classes. A training procedure is a training algorithm that implements the training process.
Fan, Rong, "Support vector machines for classification." (2001). Student Work. 3524.
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