Kohram, Mojtaba and Md. Sap, Mohd. Noor (2007) A review of support vector machines with respect to spatial data. In: Postgraduate Annual Research Seminar (PARS’ 07), 2007, UTM, Johor Bahru.
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Abstract
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computer Science and Information System |
| ID Code: | 25373 |
| Deposited By: | INVALID USER |
| Deposited On: | 15 May 2012 07:56 |
| Last Modified: | 06 Aug 2017 03:20 |
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