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A hierarchical Bayes approach to reconstruction and prediction of nonlinear dynamical systems.
A hierarchical Bayes approach to reconstruction and prediction of nonlinear dynamical systems.
1999
Takashi Matsumoto
Motoki Saito
Yoshinori Nakajima
Junjiro Sugi
Hiroaki Hamagishi
Keywords:
Machine learning
Bayes' theorem
Dynamical systems theory
Artificial intelligence
Nonlinear system
Bayesian hierarchical modeling
Mathematics
Computer science
nonlinear dynamical systems
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