Data-driven learning based on shift reduce parsing algorithms has emerged dependency parsing and shown excellent performance to many Treebanks. In this paper, we investigate the e...
This paper describes our experience using dependency analysis and visualization as a tool to identify intervention points for migrating applications to environments where they can...
Dave McComb, Simon Robe, Simon Hoare, Stew Crawfor...
Abstract. In this paper we present a new modelling approach for dependability evaluation and sensitivity analysis of Scheduled Maintenance Systems, based on a Deterministic and Sto...
A quantitative analysis of program execution is essential to the computer architecture design process. With the current trend in architecture of enhancing the performance of unipr...