Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
The research question treated in this paper is centered on the idea of exploiting rich resources of one language to enhance the performance of a mention detection system of anothe...
: Research on a new system implementing the AQ learning methodology, called AQ20, is briefly described, and illustrated by initial results from an experimental version. Like its pr...
This paper reports on work done for the Genomics Track at TREC 2004 by ConverSpeech LLC in conjunction with scientists at the Saccharomyces Genome Database (SGD), the model organi...
Colleen E. Crangle, Alex Zbyslaw, J. Michael Cherr...
Software products often need to vary in terms of functionality, but also in terms of quality attributes. We describe KumbangSec, which in an approach for modelling functional and ...