Support Vector

A Support Vector is a training record (from some training dataset) that supports a decision boundary of a support vector model.

• Context:
  • It can have a Lagrange Multipliers (alphas) are greater than zero (> 0).
  • Is "near" the optimal Hyperplane.
• Example(s):
  • Support Vector Image
• See: Support Vector Machine, Kernel Function.

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References

• http://www.cs.unm.edu/~jmk/cs531/PatternRec-SVM.ppt
• http://www.emeraldinsight.com/fig/0701041001002.png

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