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.
Files over 3MB may be slow to open. For best results, right-click and select "save as..."
A Thesis Presented to the Department of Computer Science and the Faculty of the Graduate College University of Nebraska In Partial Fulfillment of the Requirements for the Degree Master of Science University of Nebraska at Omaha. Copyright 2001 Rong Fan