This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Ranking is a fundamental operation in data analysis and decision support, and plays an even more crucial role if the dataset being explored exhibits uncertainty. This has led to m...
Steering and driving tasks – where the user controls a vehicle or other object along a path – are common in many simulations and games. Racing video games have provided users ...
Scott Bateman, Andre Doucette, Robert Xiao, Carl G...
This study focuses on the development of a conceptual simulation modeling tool that can be used to structure a domain specific simulation environment. The issues in Software Engin...