19. The method of claim 18 further comprising: recomputing probabilities periodically during the current driving session, using subsequently observed data of the current driving session.
18. The method of claim 17 wherein probabilistically determining which of the plurality of conditional variant models associated with the target attribute currently corresponds to a condition of the target attribute comprises: determining if a conditional variant corresponds to an explicit or implicit condition; in response to the conditional variant corresponding to an explicit condition, assigning a probability of 1 to a conditional variant model that corresponds to the explicit condition, and assigning a probability of 0 to other conditional variant models associated with the target attribute; and in response to the conditional variant corresponding to an implicit condition, assigning a probability to each conditional variant model associated with the target attribute, using Bayesian reasoning and observed data of the current driving session.