We consider the supervised learning of a binary classifier from noisy observations. We use smooth boosting to linearly combine abstaining hypotheses, each of which maps a subcube...
In this paper, we consider an automatic-repeat-request (ARQ) retransmission protocol signaling over a block-fading multiple-input, multiple-output (MIMO) channel. Unlike previous ...
Allen Chuang, Albert Guillen i Fabregas, Lars K. R...
We consider opportunistic spectrum access (OSA) strategies for a transmitter in a multichannel wireless system, where a channel may or may not be available and the transmitter must...
This paperdescribes the use of a powerful graph query language for querying programs, and a novel combination of transformations for generating efficient implementations of the q...
K. Tuncay Tekle, Michael Gorbovitski, Yanhong A. L...
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...