Given a prior distribution b(g) and a resultũ, an updated distribution b (g) can be computed by summing over all hidden user actions u: where η is a normalizing constant (Williams and Young (2007)).
discriminative approaches use conditional models, trained in a discriminative fashion (Bohus and Rudnicky (2006)) to directly estimate the distribution over a set of state hypotheses based on a large set of informative features.