Support Vector Machine, Machine Learning, Classification, Deep Learning, Hands On Tutorials.
Weights [18] Weighted Combination … X’1: (20)*0.7+(-10)*0.8+(10)*0.9+(-10)*0.7+0+(-10)*0.9+(-1) = -2 X’2: (20)*0.9+(-10)*0.7+(10)*0.8+(-10)*0.8+0+(-10)*0.9+(-1) = 1 … [19] Classify … X’1: -2 < 0 → - X’2: 1 > 0 → + … In the end, let’s focus on the application of SVM. Applications of SVM Support