What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Background: Predictive microbiology develops mathematical models that can predict the growth rate of a microorganism population under a set of environmental conditions. Many prima...
The SERF project at Stanford deals with the Entity Resolution (ER) problem, in which records determined to represent the same real-life "entities" (such as people or pro...
Abstract. This paper addresses the problem of establishing temporal properties of programs written in languages, such as Java, that make extensive use of the heap to allocate-and d...
Eran Yahav, Thomas W. Reps, Shmuel Sagiv, Reinhard...
The problem of coding for channels with time-varying state is studied. Two different models are considered: one in which the channel state cannot depend on the transmitted signal,...