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Relevant Vector Machine (RVM) and Support Vector Machine (SVM) are two relatively new methods that enable us to utilize a few experimental sample points to construct an explicit metamodel. They have been extensively employed in both classification and regression problems. However, their performance in uncertainty analysis is rarely studied. The focus of this paper is to compare the two metamodeling...
This paper tries to reconcile the tension between the physical model and the protocol model that have been used to characterize interference relationship in a multihop wireless network. The physical model (a.k.a. signal-to-interference-and-noise ratio model) is widely considered as a reference model for physical layer behavior but its application in multihop wireless networks is limited by its complexity...
MIMO-based communications have great potential to improve network capacity for multi-hop wireless networks. Although there has been significant progress on MIMO at the physical layer or single-hop communication, advances in the theory of MIMO for multi-hop wireless networks remain limited. This stagnation is mainly due to the lack of an accurate and more important, analytically tractable model that...
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