abstract, we propose a study on joint rate-and-power allocation problem for multi-channel spectrum sharing networks (SSNs). We formulate this cross-layer optimization problem as a...
We present a probabilistic analysis of integer linear programs (ILPs). More specifically, we study ILPs in a so-called smoothed analysis in which it is assumed that first an adve...
We present a system that learns to follow navigational natural language directions. Where traditional models learn from linguistic annotation or word distributions, our approach i...
We describe a recommender system based on Dynamically Structured Holographic Memory (DSHM), a cognitive model of associative memory that uses holographic reduced representations a...
Matthew Rutledge-Taylor, Andre Vellino, Robert L. ...
We address the problem of learning the parameters in graphical models when inference is intractable. A common strategy in this case is to replace the partition function with its B...