Could a neural network, a knn or a ridge regression with a kernel trick solve the XOR problem ?
Is it possible to have this kind of decision boundary with a kernel trick ?
I guess that yes since a neural network could do it and a neural network performs feature extraction but I would like to confirm.
Finally, will the ridge regression and the kernelized ridge regression with a linear kernel that we have seen in class always give the same decision boundary ?
Thank you for your time.