Minimum Error Rate Training is the algorithm for log-linear model parameter training most used in state-of-the-art Statistical Machine Translation systems. In its original formula...
Many approaches to unsupervised morphology acquisition incorporate the frequency of character sequences with respect to each other to identify word stems and affixes. This typical...
In this paper, a novel Kalman filter-based power allocation scheme is developed for cooperative networks with inaccurate channel state information (CSI). The channel estimation err...
In this paper the interference channel is extended by additional relay nodes in order to investigate the influence of interference on the design and performance of relaying protoco...
Abstract. "Why does the build fail currently?" - This and similar questions arise on a daily basis in software development processes (SDP). There is no easy way to answer...