Suppose we are given a set of N observations of the input vector x, which we denote collectively by a data matrix X whose n th row is x^Tn with n = 1, . . . , N. The corresponding target values are given by t = (t1, ..., tN )T . The likelihood function is then defined as p(t|X, w, β) = âNn=1 p(tn|xn, w, βâ1). Required:
Draw the directed probabilistic graphical model corresponding to the likelihood function (3 points).