Curse of Dimensionality in Bayesian Model Updating
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
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Curse of Dimensionality in Neural Network Optimization
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
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Exploratory structural equation modeling and the curse of dimensionality. [PDF]
Le TT +3 more
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Can a Hebbian-like learning rule be avoiding the curse of dimensionality in sparse distributed data? [PDF]
Osório M, Sa-Couto L, Wichert A.
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Countering the Curse of Dimensionality: Exploring Data-generating Mechanisms Through Participant Observation and Mechanistic Modeling. [PDF]
Hubbard A +3 more
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Overcoming the curse of dimensionality in the numerical approximation of high-dimensional semilinear elliptic partial differential equations. [PDF]
Beck C, Gonon L, Jentzen A.
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Breaking the curse of dimensionality to identify causal variants in Breeding 4. [PDF]
Ramstein GP, Jensen SE, Buckler ES.
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Gene Expression-Based Cancer Classification for Handling the Class Imbalance Problem and Curse of Dimensionality. [PDF]
Al-Azani S +3 more
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Fast simulation for multi-photon, atomic-ensemble quantum model of linear optical systems addressing the curse of dimensionality. [PDF]
Oba J, Kajita S, Soeda A.
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The curse of dimensionality: Animal-related risk factors for pediatric diarrhea in western Kenya, and methods for dealing with a large number of predictors. [PDF]
Meisner J, Mooney SJ, Rabinowitz PM.
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