This work considers the problem of prioritizing the inbound TCP traffic of an organization network. The objective is to allocate dynamically a specific share of the incoming link ...
Meta-Learning has been successfully applied to acquire knowledge used to support the selection of learning algorithms. Each training example in Meta-Learning (i.e. each meta-exampl...
— Despite its low-complexity, the zero-forcing receiver is known to suffer from noise enhancement to restore the spatially multiplexed data in a single-user MIMO system. Neverthe...
—Rate adaptation is a critical component that impacts the performance of IEEE 802.11 wireless networks. In congested networks, traditional rate adaptation algorithms have been sh...
We describe a new approach for rescoring speech lattices — with long-span language models or wide-context acoustic models — that does not entail computationally intensive latt...
Ariya Rastrow, Markus Dreyer, Abhinav Sethy, Sanje...