Bayesian estimation
Bayesian estimation
•Goal is to
choose the label (skin or ~skin) that maximizes the posterior
–this is
called Maximum A Posteriori (MAP)
estimation
likelihood
posterior (unnormalized)
= minimize probability of
misclassification
