Continuous time Bayesian networks (CTBN) describe structured stochastic processes with finitely many states that evolve over continuous time. A CTBN is a directed (possibly cycli...
In dynamically changing environments a planning system does not have all the required information at the first place and the world state can change, rendering the original plan i...
A tool is presented that gives a high-level estimation of the power consumed by an analog continuous-time OTA-C filter when given only high-level input parameters such as dynamic ...
We present an algorithm for real-time level of detail reduction and display of high-complexity polygonal surface data. The algorithm uses a compact and efficient regular grid repr...
Peter Lindstrom, David Koller, William Ribarsky, L...
We consider temporal approximation of stationary statistical properties of dissipative complex dynamical systems. We demonstrate that stationary statistical properties of the time...