Target phrase selection, a crucial component of the state-of-the-art phrase-based statistical machine translation (PBSMT) model, plays a key role in generating accurate translation...
Rejwanul Haque, Sudip Kumar Naskar, Andy Way, Mart...
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
In this special session we explore holistic approaches to hardware/software debug that use or integrate transaction level models (TLMs). We present several TLM-based approaches to...
The notion of aspect is important as a systematic approach to the representation of cross-cutting concerns and the incremental additions of new functionalities to an existing syst...
Abstract. This paper surveys the state-of-the-art in developing multi-agent systems, and sets out to answer the questions: "what are the key current issues in developing multi...
Rafael H. Bordini, Mehdi Dastani, Michael Winikoff