— Distributed sensing refers to measuring systems where instead of one sensor multiple sensors are spatially distributed improving robustness of the system, increasing relevancy ...
We address the problem of learning classifiers for several related tasks that may differ in their joint distribution of input and output variables. For each task, small
We investigate the problem of learning a widely-used latent-variable model – the Latent Dirichlet Allocation (LDA) or “topic” model – using distributed computation, where ...
David Newman, Arthur Asuncion, Padhraic Smyth, Max...
This paper summarizes the author's recent work in distributed constraint optimization (DCOP). New local algorithms, as well as theoretical results about the types of solution...