We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
The problem of deriving joint policies for a group of agents that maximize some joint reward function can be modeled as a decentralized partially observable Markov decision proces...
Ranjit Nair, Milind Tambe, Makoto Yokoo, David V. ...
In this paper, we study the problem of optimal matrix partitioning for parallel dense factorization on heterogeneous processors. First, we outline existing algorithms solving the ...
A standard notation, that unambiguously expresses different aspects of a system, is important to the process of software development. The expressiveness of a standard notation hel...
Satyajit Acharya, Hrushikesha Mohanty, R. K. Shyam...
The problem of cooperatively performing a set of t tasks in a decentralized setting where the computing medium is subject to failures is one of the fundamental problems in distrib...
Chryssis Georgiou, Alexander Russell, Alexander A....