Minimal Support Vector Machine

Understand

Support Vector Machine (SVM) is an efficient classification approach, which finds a hyperplane to separate data from different classes.

• This hyperplane is determined by support vectors.
• In existing SVM formulations, the objective function uses L2 norm or L1 norm on slack variables.
• The number of support vectors is a measure of generalization errors.