A review of support vector machines with respect to spatial data
A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data (supervised learning), the algorithm outputs an optimal hyperplane which categorizes new examples.
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Main Authors: | , |
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Format: | Conference or Workshop Item |
Published: |
2007
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/25373/ |
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Summary: | A Support Vector Machine (SVM) is a discriminative classifier formally defined by a separating hyperplane. In other words, given labeled training data (supervised learning), the algorithm outputs an optimal hyperplane which categorizes new examples. |
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