Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
This paper reports on a panel discussion held during the Educators’ Symposium at MODELS’2009. It shortly explains the context provided for the discussion and outlines the state...
The process of extracting useful knowledge from large datasets has become one of the most pressing problems in today’s society. The problem spans entire sectors, from scientists...
— Production automation systems consist of many entities (like robots and shuttles) that interact in complex ways to provide the overall system functionality like product assembl...
Analysis of postgenomic biological data (such as microarray and SNP data) is a subtle art and science, and the statistical methods most commonly utilized sometimes prove inadequat...