We define a probabilistic morphological analyzer using a data-driven approach for Syriac in order to facilitate the creation of an annotated corpus. Syriac is an under-resourced S...
Peter McClanahan, George Busby, Robbie Haertel, Kr...
The automotive industry has a growing demand for the seamless integration of safety analysis tools into the model-based development toolchain for embedded systems. This requires t...
As the use of online business systems increase so does the need to produce more efficient and less error prone web based Modeling is a core abstraction mechanism used to manage co...
Abstract. Various forms of pervasive computing environments are being deployed in an increasing number of areas including healthcare, home automation, and military. This evolution ...
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...