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. 2020 Mar 5;16:30. doi: 10.1186/s13007-020-00576-7

Table 5.

The symbols and parameters used in the mathematical theory of the SVC algorithm

Parameter Description
w The normal direction of the hyperplane
b The bias of the hyperplane
ξi The positive slack variable
C The user-defined parameter to assign penalty to errors
e The vector of all ones
αi The Lagrangian multipliers
K(xi,xj) The kernel function
γ The tuning parameter (called ‘gamma’) of the RBF kernel, must be greater than 0