We summarize the results of an extensive experimental performance evaluation of selected batch means procedures for building a confidence interval for a steady-state expected simu...
Variational methods for model comparison have become popular in the neural computing/machine learning literature. In this paper we explore their application to the Bayesian analys...
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
— This paper revisits the problem of detecting greedy behavior in the IEEE 802.11 MAC protocol by evaluating the performance of two previously proposed schemes: DOMINO and the Se...
Dynamic Spectrum Access systems exploit temporarily available spectrum (‘white spaces’) and can spread transmissions over a number of non-contiguous sub-channels. Such methods...
Edward G. Coffman Jr., Philippe Robert, Florian Si...