In this paper, we develop a ranking and selection procedure for making multiple comparisons of systems that have multiple performance measures. The procedure combines multiple att...
Douglas J. Morrice, John C. Butler, Peter W. Mulla...
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
Predictive accuracy and parameter plausibility are two major desired aspects for a student modeling approach. Knowledge tracing, the most commonly used approach, suffers from local...
We propose a Particle Filter model that incorporates Particle Swarm Optimization for predicting systems with multiplicative noise. The proposed model employs a conventional multio...
A. D. Klamargias, Konstantinos E. Parsopoulos, Phi...
In previous work [8] a computational framework was demonstrated that allows a mobile robot to autonomously evolve models its own body for the purposes of adaptive behavior generat...