The first decades of the new millennium will witness an explosive growth in the number and diversity of networked devices and portals. We foresee high degrees of mobility, hetero...
Fabio Kon, Roy H. Campbell, M. Dennis Mickunas, Kl...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Three self-stabilizing protocols for distributed systems in the shared memory model are presented. The first protocol is a mutual exclusion protocol for tree structured systems. T...
With their increasingly powerful computational resources and high-speed wireless communications, future mobile systems will have the ability to run sophisticated applications on c...
We develop a new algorithm, based on EM, for learning the Linear Dynamical System model. Called the method of Approximated Second-Order Statistics (ASOS) our approach achieves dra...