An empirical study has been conducted investigating the relationship between the performance of a generative language model in terms of perplexity and the corresponding informatio...
Leif Azzopardi, Mark Girolami, Keith van Rijsberge...
In this paper, we deal with information retrieval approach based on language model paradigm, which has been intensively investigated in recent years. We propose, implement, and ev...
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
The Gaussian distribution is the basis for many methods used in the statistical analysis of shape. One such method is principal component analysis, which has proven to be a powerfu...
P. Thomas Fletcher, Sarang C. Joshi, Conglin Lu, S...
In this paper, we investigate how deviation in evaluation activities may reveal bias on the part of reviewers and controversy on the part of evaluated objects. We focus on a `data...