This paper reviews algorithms for local computation with imprecise probabilities. These algorithms try to solve problems of inference calculation of conditional or unconditional p...
Abstract—Although energy-efficient real-time task scheduling has attracted a lot of attention in the past decade, most existing results assumed deterministic execution lengths f...
Abstract. In this paper, the optimization of the Berth Allocation Problem (BAP) is transformed into a multiple stage decision making procedure and a new stochastic beam search algo...
Given k sorted arrays, the t-Threshold problem, which is motivated by indexed search engines, consists of finding the elements which are present in at least t of the arrays. We pr...
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...