Web: http://arxiv.org/abs/2206.11324

June 24, 2022, 1:11 a.m. | Xiao Liu, Xinchao Liu

stat.ML updates on arXiv.org arxiv.org

Low dimensional and computationally less expensive Reduced-Order Models
(ROMs) have been widely used to capture the dominant behaviors of
high-dimensional systems. A ROM can be obtained, using the well-known Proper
Orthogonal Decomposition (POD), by projecting the full-order model to a
subspace spanned by modal basis modes which are learned from experimental,
simulated or observational data, i.e., training data. However, the optimal
basis can change with the parameter settings. When a ROM, constructed using the
POD basis obtained from training data, …

arxiv manifold models on regression trees

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