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Curse of Dimensionality in Bayesian Model Updating

open access: yes
Bayesian approach provides a coherent framework to address the model updating problem in structural health monitoring. The current practice, however, only focuses on low-dimension model (generally no more than 20 parameters), which limits the accuracy and predictability of the updated model.
Binbin, Li, Zihan, Liao
openaire   +2 more sources

Curse of Dimensionality in Neural Network Optimization

open access: yes
This paper demonstrates that when a shallow neural network with a Lipschitz continuous activation function is trained using either empirical or population risk to approximate a target function that is $r$ times continuously differentiable on $[0,1]^d$, the population risk may not decay at a rate faster than $t^{-\frac{4r}{d-2r}}$, where $t$ is an ...
Na, Sanghoon, Yang, Haizhao
openaire   +2 more sources

Exploratory structural equation modeling and the curse of dimensionality. [PDF]

open access: yesBehav Res Methods
Le TT   +3 more
europepmc   +1 more source

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