Results 41 to 50 of about 8,855 (158)

Spatiotemporally Combined Dimensionality Reduction Algorithm for Optimizing Long-term Operation of Multi-reservoir Systems

Renmin Zhujiang, 2023
To alleviate the “curse of dimensionality” and improve the solution efficiency while ensuring the quality of solutions in optimizing the operation of multi-reservoir systems,this paper proposes a spatiotemporally combined dimensionality reduction ...
CHEN Jia, ZHANG Hanjun, XU Nan
doaj  

Using machine learning to identify top predictors for nurses’ willingness to report medication errors

Array, 2020
This paper presents a novel methodology to analyze nurses’ willingness to report medication errors. Parallel Extreme Learning Machines were applied to identify the top interpersonal and organizational predictors and Self-Organizing Maps to create ...
Renjie Hu, Amany Farag, Kaj-Mikael Björk, Amaury Lendasse   +3 more
doaj   +1 more source

A projection and density estimation method for knowledge discovery. [PDF]

PLoS ONE, 2012
A key ingredient to modern data analysis is probability density estimation. However, it is well known that the curse of dimensionality prevents a proper estimation of densities in high dimensions.
Adam Stanski, Olaf Hellwich
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A Survey on Hybrid Feature Selection Methods in Microarray Gene Expression Data for Cancer Classification

IEEE Access, 2019
The emergence of DNA Microarray technology has enabled researchers to analyze the expression level of thousands of genes simultaneously. The Microarray data analysis is the process of finding the most informative genes as well as remove redundant and ...
Nada Almugren, Hala Alshamlan
doaj   +1 more source

Curse of dimensionality on persistence diagrams

Foundations of Data Science
The stability of persistent homology has led to wide applications of the persistence diagram as a trusted topological descriptor in the presence of noise. However, with the increasing demand for high-dimension and low-sample-size data processing in modern science, it is questionable whether persistence diagrams retain their reliability in the presence ...
Hiraoka, Yasuaki, Imoto, Yusuke, Kanazawa, Shu, Liu, Enhao   +3 more
openaire   +2 more sources

The curse of dimensionality for numerical integration of smooth functions II [PDF]

Journal of Complexity, 2014
We prove the curse of dimensionality for multivariate integration of C r C^r functions: The number of needed function values to achieve an error ϵ \epsilon is larger than c r ( 1 + γ ) d c_r (1 ...
Hinrichs, A., Novak, E., Ullrich, M., Woźniakowski, H.   +3 more
openaire   +3 more sources

High-Dimensional Numerical Methods for Nonlocal Models

Mathematics
Nonlocal models offer a unified framework for describing long-range spatial interactions and temporal memory effects. The review briefly outlines several representative physical problems, including anomalous diffusion, material fracture, viscoelastic ...
Yujing Jia, Dongbo Wang, Xu Guo
doaj   +1 more source

Varying Index Coefficient Model for Tail Index Regression

Mathematics
Investigating the causes of extreme events is crucial across various fields. However, existing asymptotic theoretical models often lack flexibility and fail to capture the complex dependency structures inherent in extreme events.
Hongyu An, Boping Tian
doaj   +1 more source

SLIC Superpixel-Based l_2,1-Norm Robust Principal Component Analysis for Hyperspectral Image Classification

Sensors, 2019
Hyperspectral Images (HSIs) contain enriched information due to the presence of various bands, which have gained attention for the past few decades. However, explosive growth in HSIs’ scale and dimensions causes “Curse of dimensionality„
Baokai Zu, Kewen Xia, Tiejun Li, Ziping He, Yafang Li, Jingzhong Hou, Wei Du   +6 more
doaj   +1 more source

The Curse of Dimensionality [PDF]

Anesthesiology, 2018
Niketu P, Patel, Elie, Sarraf, Mitchell H, Tsai   +2 more
openaire   +2 more sources