This paper investigates the problem of designing decentralized representations to support monitoring and inferences in sensor networks. State-space models of physical phenomena su...
Juan Liu, Maurice Chu, Jie Liu, Jim Reich, Feng Zh...
Abstract. In this paper we study distributed online learning of locomotion gaits for modular robots. The learning is based on a stochastic approximation method, SPSA, which optimiz...
This paper introduces large scale content distribution protocols, which are capable of scaling to massive numbers of users and providing low delay end-to-end delivery. Delivery of...
— The dynamic composition of systems of networked appliances, or virtual devices, enables users to generate complex strong specific systems. Current prominent MANET-based composi...
Simulations often operate on static datasets and data sources, but many simulations would benefit from access to dynamic data. This paper describes our work developing a software ...
Linda F. Wilson, Daniel Burroughs, Jeanne Sucharit...