Given the training dataset with negative samples x1 = (3, 3)T , x2 = (4, 3)T and positive samples x3 = (1, 1)T , try using primal form of perceptron learning algorithm to get the per- ceptron model: f (x) = sign(w · x + b) , where w = (w(1), w(2))T , x = (x(1), x(2))T . Let the initialvaluesofwandbbew0 = 0andb0 = 0,thelearningrate? = 1,andthesequenceof misclassified samples be x1, x3, x3, x3, x1, x3, x3. Calculate the corresponding w and b of each misclassified sample.