ABSTRACT
In order to obtain weight vector ωT and bias term b, we must minimize the sum of the ε-insensitive loss function:
1 2
1 ω ε+
∑C L x y fi i i
N ( , , ) (2)
where, parameter C can measure the trade-off between complexity and losses.
In order to obtain weight vector ωT and bias term b, we must minimize the sum of the ε-insensitive loss function:
1 2
1 ω ε+
∑C L x y fi i i
N ( , , ) (2)
where, parameter C can measure the trade-off between complexity and losses.