Research Article

A Faster Gradient Ascent Learning Algorithm for Nonlinear SVM

Table 5

The comparative analysis in terms of the number of iterations and the values of .

Number of iterations/the estimation of the maximum value of (4)
SMOThe variant of the gradient algorithm using the weight parameter (15)The variant of the gradient algorithm using the weight parameter (20)The variant of the gradient algorithm using the weight parameter (24)

0.11351/106.32294/106.60230/106.06272/106.78
0.151495/120.49314/120.54251/120.49254/120.45
0.21485/126.39324/127.19250/127.22298/127.04
0.31497/130.52322/131.84252/131.82288/131.01
0.51461/131.77252/131.46252/131.43285/132.31