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UAI
2003
13 years 9 months ago
Learning Continuous Time Bayesian Networks
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...
Uri Nodelman, Christian R. Shelton, Daphne Koller
ECAI
2000
Springer
13 years 12 months ago
Continual Planning with Time-Oriented, Skeletal Plans
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...
Silvia Miksch, Andreas Seyfang
ICCAD
2000
IEEE
159views Hardware» more  ICCAD 2000»
14 years 1 days ago
ACTIF: A High-Level Power Estimation Tool for Analog Continuous-Time-Filters
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 ...
Erik Lauwers, Georges G. E. Gielen
SIGGRAPH
1996
ACM
13 years 11 months ago
Real-Time, Continuous Level of Detail Rendering of Height Fields
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...
MOC
2010
13 years 2 months ago
Approximation of stationary statistical properties of dissipative dynamical systems: Time discretization
We consider temporal approximation of stationary statistical properties of dissipative complex dynamical systems. We demonstrate that stationary statistical properties of the time...
Xiaoming Wang