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A review of support vector machines with respect to spatial data

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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