1. A system that facilitates generating an inference, comprising: a component that makes a log of previously observed events; and a modeling component, comprising at least one processor, that generates predictions of an event based at least in part upon a combination, the combination being a combination of outputs of: an open-world submodeling component that provides probabilities that events that are not in the log are likely to occur, the open world submodeling component inferring the probabilities by distributing probabilities over unobserved events; and a closed-world submodeling component that provides probabilities that events in the log are likely to recur, the closed-world submodeling component inferring the probabilities based on information in the log that indicates probabilities that previously observed events will recur, wherein the modeling component generates a prediction of a future event by combining, for each of a plurality of events, a probability provided by the open-world submodeling component and a probability provided by the closed-world submodeling component.