CSCI 5512: Artificial Intelligence II (Spring 2022) Homework 4 (Due Tue, Apr 19, 11:59 pm central) 1. (40 points) The perceptron learning rule learns a linear model for classification problems by iteratively updating a weight vector via: wt+1 = wt + αt(yit − 1(wt⊤xit ≥ 0))xit where t indexes the iteration, it is the data point used in iteration t (i.e., for N total data points it ∈ {1,...,N}), yit ∈ {0,1} 。。。