We propose the characteristics of a software tool that leverages specifying attack pattern details in understandable hierarchies. These hierarchies are currently manually populate...
This paper presents a new analysis technique, commutativity analysis, for automatically parallelizing computations that manipulate dynamic, pointer-based data structures. Commutat...
Many computer simulations, experimental testing and monitoring of physical systems produce vast amounts of quantitative data. These data have always been assimilated by trained an...
Grammars play an important role in many Natural Language Processing (NLP) applications. The traditional approach to creating grammars manually, besides being labor-intensive, has ...
In this paper, we develop multilingual supervised latent Dirichlet allocation (MLSLDA), a probabilistic generative model that allows insights gleaned from one language's data...