According to Bayes' rule, p(y|x; θ) ∝ p(x, y; θ), the discriminant functions of generative classifiers are provided by generative models p(x, y; θ).
we can regard L(θ) as the logarithm of the sum of discriminant functions for all missing variables y of unlabeled data.