SOLVED: Suppose that an input feature vector x = [x1 x2]T is assumed to be distributed according to a bivariate (two-dimensional) Gaussian with unknown mean vector and covariance matrix. What are the maximum likelihood estimates of the mean and covariance matrix if we make the following observations of (x1, x2): (-3.52, 0.08), (-5.56, -3.54), (-1.21, 0.4), (-4.26, 4.75), (0.54, 2.24)?
SOLVED: Suppose that an input feature vector x = [x1 x2]T is assu…
Jan 23, 2022
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