Support Vector
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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):
- See: Support Vector Machine, Kernel Function.
References
- http://www.cs.unm.edu/~jmk/cs531/PatternRec-SVM.ppt
- http://www.emeraldinsight.com/fig/0701041001002.png