This paper describes a number of effective techniques for visualizing some of the more complex data relationships that characterize an electric power system in real time. Power sy...
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
A framework for adaptive bandwidth mana ement in ATM based networks is presented. +he central concept of this approach is an adaptive estimation of the aggregate effective bandwid...
We address the problem of automatically constructing basis functions for linear approximation of the value function of a Markov Decision Process (MDP). Our work builds on results ...
We present an online, recursive filtering technique to model linear dynamical systems that operate on the state space of symmetric positive definite matrices (tensors) that lie on...