In this paper, we introduce a common semantic framework for developing and formally modeling use cases and task models. Use cases are the notation of choice for functional require...
Model checking is a promising technology, which has been applied for verification of many hardware and software systems. In this paper, we introduce the concept of model update to...
In this paper, a hybrid discriminative/generative model for brain anatomical structure segmentation is proposed. The learning aspect of the approach is emphasized. In the discrimin...
We propose a simple generative, syntactic language model that conditions on overlapping windows of tree context (or treelets) in the same way that n-gram language models condition...
Model checking can tell us whether a system is correct; probabilistic model checking can also tell us whether a system is timely and reliable. Moreover, probabilistic model checkin...