(a) Show that an SVM that employs the quadratic Kernel function, K(x,y)=xy, can successfully classify all the instances in a dataset with below four instances {((x1=1,x2=1),r=1),((x1=1,x2=1),r=1),((x1=1,x2=1),r=1),((x1=1,x2=1),r=1)} (b) Consider the following two points in two-dimensional space: {(x1=(x11=0,x21=0),r1=1),(x2=(x12=1,x22=1),r2=1)} We can define a line equation as xw+1=0, where w is a vector of length 2 . What w vector separates x1 and x2 with the largest margin