In this work we take a novel view of nonlinear manifold learning. Usually, manifold learning is formulated in terms of finding an embedding or `unrolling' of a manifold into ...
This work addresses the high-rate session scheduling problem in Fractional Lambda Switching (FλS) networks. With its global phase synchronization and pipeline forwarding (PF) ope...
It has been widely observed that there is no “dominant” SAT solver; instead, different solvers perform best on different instances. Rather than following the traditional appr...
Lin Xu, Frank Hutter, Holger H. Hoos, Kevin Leyton...
Protocols which solve agreement problems are essential building blocks for fault tolerant distributed applications. While many protocols have been published, little has been done ...
Abstract. Mobile ad hoc networks are a class of highly dynamic networks. In previous work, we developed a new routing algorithm, called AntHocNet, for these challenging network env...
Frederick Ducatelle, Gianni Di Caro, Luca Maria Ga...