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Pair Approximation for Lattice Models with Multiple Interaction Scales

Journal of Theoretical Biology, 2001
Pair approximation has frequently proved effective for deriving qualitative information about lattice-based stochastic spatial models for population, epidemic and evolutionary dynamics. Pair approximation is a moment closure method in which the mean-field description is supplemented by approximate equations for the frequencies of neighbor-site pairs of
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An Interacting Multiple Model for Trajectory Prediction of Intelligent Vehicles in Typical Road Traffic Scenario

IEEE Transactions on Neural Networks and Learning Systems, 2023
Hongbo Gao, Yechen Qin, Chuan Hu
exaly  

Interacting Multiple Model Based on Maximum Correntropy Kalman Filter

IEEE Transactions on Circuits and Systems II: Express Briefs, 2021
Xuxiang Fan, Gang Wang, Jiachen Han
exaly  

Multiple object tracking with segmentation and interactive multiple model

Journal of Visual Communication and Image Representation
Ke Qi   +4 more
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The interacting multiple model algorithm for systems with Markovian switching coefficients

IEEE Transactions on Automatic Control, 1988
Henk A P Blom, Y Bar-Shalom
exaly  

An algorithm of the adaptive grid and fuzzy interacting multiple model

Journal of Marine Science and Application, 2014
Chen Guo
exaly  

Interacting multiple model particle filter for prognostics of lithium-ion batteries

Microelectronics Reliability, 2017
Michael Pecht, Lingling Zhao
exaly  

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