In cases where non-linear hypothesis functions should be optimised, each u i can be mapped into ϕ( u i ) ∈ F , where F is a higher dimensional space usually called feature space, in order to make linear the relation between u i and y i .
the original linear learning machine can be adopted in finding the classification solution in the feature space.