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» Combining Simple Models to Approximate Complex Dynamics
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TOG
2010
97views more  TOG 2010»
14 years 4 months ago
A practical simulation of dispersed bubble flow
In this paper, we propose a simple and efficient framework for simulating dispersed bubble flow. Instead of modeling the complex hydrodynamics of numerous small bubbles explicitly...
Doyub Kim, Oh-Young Song, Hyeong-Seok Ko
INFOCOM
2012
IEEE
13 years 10 days ago
On superposition of heterogeneous edge processes in dynamic random graphs
—This paper builds a generic modeling framework for analyzing the edge-creation process in dynamic random graphs in which nodes continuously alternate between active and inactive...
Zhongmei Yao, Daren B. H. Cline, Dmitri Loguinov
DIS
2009
Springer
14 years 7 months ago
Player Modeling for Intelligent Difficulty Adjustment
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Olana Missura, Thomas Gärtner
ICPR
2002
IEEE
15 years 11 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
ICRA
2007
IEEE
132views Robotics» more  ICRA 2007»
15 years 4 months ago
Heterogeneous Leg Stiffness and Roll in Dynamic Running
— Legged robots are by nature strongly non-linear, high-dimensional systems whose full complexity permits neither tractable mathematical analysis nor comprehensive numerical stud...
Samuel Burden, Jonathan Clark, Joel Weingarten, Ha...