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Simulating Stochastic Inertial Manifolds by a Backward-Forward Approach.
Xingye Kan
Jinqiao Duan
Ioannis G. Kevrekidis
Anthony J. Roberts
Published in:
SIAM J. Appl. Dyn. Syst. (2013)
Keyphrases
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forward and backward
bi directional
manifold learning
dynamic model
multiscale
dynamic programming
reinforcement learning
stochastic model
euclidean space
kalman filter
monte carlo
natural images
high dimensional
nearest neighbor
data points
arbitrary dimension
principal curves
locally linear
forward backward