Applied SciencesThe challenge of analyzing microarray datasets is significantly compounded by the curse of dimensionality and the complexity of feature interactions.
Jiangnan Zhang +4 more
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A methodology for supplier selection under the curse of dimensionality problem based on fuzzy quality function deployment and interval data envelopment analysis. [PDF]
PLoS One, 2021 Bao X, Li F.
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The curse(s) of dimensionality [PDF]
Nature Methods, 2018 Naomi Altman, Martin Krzywinski
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Overcoming the curse of dimensionality in the numerical approximation of semilinear parabolic partial differential equations. [PDF]
Proc Math Phys Eng Sci, 2020 Hutzenthaler M +4 more
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Application of Support Vector Machines in High Power Device Technology
Kongzhi Yu Xinxi Jishu, 2018 As a machine learning algorithm, support vector machine(SVM) has the advantages of good nonlinear processing ability, theoretical global optimum and overcoming the curse of dimensionality.
RAO Wei, LI Yong, YAN Ji
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Correction: Rigid geometry solves "curse of dimensionality" effects in clustering methods: An application to omics data. [PDF]
PLoS One, 2020 Adachi S.
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Ensemble Averaging and the Curse of Dimensionality
Journal of Climate, 2018 AbstractWhen comparing climate models to observations, it is often observed that the mean over many models has smaller errors than most or all of the individual models. This paper will show that a general consequence of the nonintuitive geometric properties of high-dimensional spaces is that the ensemble mean often outperforms the individual ensemble ...
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Addressing the curse of dimensionality in stochastic dynamics: a Wiener path integral variational formulation with free boundaries. [PDF]
Proc Math Phys Eng Sci, 2020 Petromichelakis I, Kougioumtzoglou IA.
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Robust subspace methods for outlier detection in genomic data circumvents the curse of dimensionality. [PDF]
R Soc Open Sci, 2020 Shetta O, Niranjan M.
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Variable selection in the curse of dimensionality
, 2016 High-throughput technologies nowadays are leading to massive availability of data to be explored. Therefore, we are keen to build mathematical and statistical meth- ods for extracting as much value from the available data as possible. However, the large dimensionality in terms of both sample size and number of features or variables poses new challenges.
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