An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...
This paper looks at the problem of data prioritization, commonly found in mobile ad-hoc networks. The proposed general solution uses a machine learning approach in order to learn ...
ST-Tool is a graphical tool integrating an agent-oriented requirements engineering methodology with tools for the formal analysis of models. Essentially, the tool allows designers ...
Paolo Giorgini, Fabio Massacci, John Mylopoulos, A...
Successful transfer and uptake of qualitative reasoning technology for modelling and simulation in a variety of domains has been hampered by the lack of a structured methodology t...
Bert Bredeweg, Paulo Salles, Anders Bouwer, Jochem...
A generic theoretical framework for managing critical events in ubiquitous computing systems is presented. The main idea is to automatically respond to occurrences of critical eve...
Tridib Mukherjee, Krishna M. Venkatasubramanian, S...