In this paper, we propose a new context-sensitive Bayesian learning algorithm. By modeling the distributions of data locations by a mixture of Gaussians, the new algorithm can uti...
— In this paper, we propose a memory-constrained tree search (MCTS) algorithm for the detection in multiple-input multiple-output (MIMO) systems. The MCTS algorithm offers a wide...
—Divisible load model allows scheduling algorithms that give nearly optimal makespan with practical computational complexity. Beaumont et al. have shown that their algorithm prod...
We provide the implementation results of the distributed mutual exclusion algorithm based on Ricart-Agrawala algorithm for mobile ad hoc networks (MANETs) using the ns2 simulator d...
Various algorithms have been developed and applied to structural optimization, in which cross-sectional areas of structure members are assumed to be continuous. In most cases of p...