Computational Methods for Support Vector Machine Classification and Large-Scale Kalman Filtering
The first half of this dissertation focuses on computational methods for solving the constrained quadratic program (QP) within the support vector machine (SVM) classifier. One of the SVM formulations requires the solution of bound and equality constrained QPs. We begin by describing an augmented Lag...
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| Format: | Others |
| Language: | en |
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The University of Montana
2013
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| Online Access: | http://etd.lib.umt.edu/theses/available/etd-07022013-162755/ |