Research on fine tuning stabilization properties has received attention for nearly a decade. This paper presents a probabilistic algorithm for fault-containment, that confines th...
Stochastic simulation models are used to predict the behavior of real systems whose components have random variation. The simulation model generates artificial random quantities b...
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
This paper outlines a retail sales prediction and product recommendation system that was implemented for a chain of retail stores. The relative importance of consumer demographic ...
Given a switched multi–inventory system we wish to find the optimal schedule of the resets to maintain the system in a safe operating interval, while minimizing a function relat...