This paper presents problems encountered within the simulation modeling community of General Motors when they are faced with the requirement to verify all new plant designs for th...
Jeffrey Scott Miller, Randy Combs, Earnest Foster,...
Many recommendation systems suggest items to users by utilizing the techniques of collaborative filtering (CF) based on historical records of items that the users have viewed, purc...
Yunhong Zhou, Dennis M. Wilkinson, Robert Schreibe...
on models are abstract representations of systems one wants to study through computer simulation. In multiagent based simulation, such models usually represent agents and their re...
The aim of transfer learning is to accelerate learning in related domains. In reinforcement learning, many different features such as a value function and a policy can be transfer...
One of the most important, still unsolved problems in computer graphics is the generation of predictive imagery, i.e., images that represent perfect renditions of reality. Such pe...