Support Vector Machine, Support Vector Classifier, Kernel Trick, Rbf, Polynomial.
two-layer, perceptron neural network 3. Image Source: image.google.com The formula of SVM is y( β0 + Σβi*Xi +Σβij*Xi²) ≥ M(1-ϵ) , Σβ²=1, 0≤Σϵ≤C, Where y = dependent variable , β0 = intercept, Xi= independent variable , βi = coefficient of those independent variable, M = smallest hyperplane margin,