Question: Consider the XOR problem where there are four training points: (1, 1, ), (1,0, +), (0, 1, +), (0, 0, ) Transform the data into

Consider the XOR problem where there are four training points:

(1, 1, –), (1,0, +), (0, 1, +), (0, 0, –)

Transform the data into the following feature space:

ϕ(x 1 , x 2 ) – (1, √x 1 , √2x 2 , √2x 1 x 2 , x 1 2 , x 2 2 )

Find the maximum margin linear decision boundary in the transformed space.

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