Most discrete-event simulation models have stochastic elements that mimic the probabilistic nature of the system under consideration. A close match between the input model and the...
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
The availability of large on-line text corpora provides a natural and promising bridge between the worlds of natural language processing (NLP) and machine learning (ML). In recent...
An automatic treebank conversion method is proposed in this paper to convert a treebank into another treebank. A new treebank associated with a different grammar can be generated ...
Wepresent the prototype of a software system, cMledGeneQuiz,for large-scale biological sequence analysis. The system was designed to meet the needs that arise in computational seq...
Michael Scharf, Reinhard Schneider, Georg Casari, ...