In this paper, we propose a novel dependency-based bracketing transduction grammar for statistical machine translation, which converts a source sentence into a target dependency t...
Jinsong Su, Yang Liu, Haitao Mi, Hongmei Zhao, Yaj...
The quest to nd models usefully characterizing data is a process central to the scienti c method, and has been carried out on many fronts. Researchers from an expanding number of ...
We consider discrete possibilistic systems for which the available information is given by one-step transition possibilities and initial possibilities. These systems can be repres...
The class of all natural images is an extremely small fraction of all possible images. Some of the structure of natural images can be modeled statistically, revealing striking reg...
Erik Reinhard, Peter Shirley, Michael Ashikhmin, T...
This paper presents a statistic-based approach for evaluating the testability of nodes in combinational circuits. This testability measurement is obtained via Monte Carlo simulati...