Sage Journals: Discover world-class research

1-10 of 2355 results for High-dimensional data

Sort by:

Relevance

Select allExport selected citations

Sort by:

Relevance

Retricted access

Research article

First published 2021

Neural networks trained with high-dimensional functions approximation data in high-dimensional space

Jian Zheng, Jianfeng Wang, Yanping Chen [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Retricted access

Research article

First published 2020

Incomplete high dimensional data streams clustering

Fatma M. Najib, Rasha M. Ismail, Nagwa L. Badr [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Retricted access

Research article

First published 2016-10

Multiple imputation in the presence of high-dimensional data

Yize Zhao, Qi Long

Statistical Methods in Medical Research

Retricted access

Research article

First published 2019-1

High-dimensional data analysis with subspace comparison using matrix visualization

Junpeng Wang, Xiaotong Liu, Han-Wei Shen

Information Visualization

Retricted access

Research article

First published 2021-1

Random forests for high-dimensional longitudinal data

Louis Capitaine, Robin Genuer, Rodolphe Thiébaut

Statistical Methods in Medical Research

Retricted access

Research article

First published 2019-9

Variational autoencoder-based outlier detection for high-dimensional data

Yongmou Li, Yijie Wang, Xingkong Ma

Intelligent Data Analysis: An International Journal

Retricted access

Research article

First published 2024-3

Application of non parametric Bayesian methods in high dimensional data

Yunqing Xia

Journal of Computational Methods in Sciences and Engineering

Retricted access

Research article

First published 2021

Feature selection using autoencoders with Bayesian methods to high-dimensional data

Lei Shu, Kun Huang, Wenhao Jiang [...]

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Retricted access

Research article

First published 2016-5

Fractal-Based Methods as a Technique for Estimating the Intrinsic Dimensionality of High-Dimensional Data: A Survey

Rasa Karbauskaitė, Gintautas Dzemyda

Informatica: An International Journal of Computing and Informatics

Retricted access

Research article

First published 2011

Uncovering Bivariate Interactions in High Dimensional Data Using Random Forests with Data Augmentation

Jorge M Arevalillo, Hilario Navarro

Fundamenta Informaticae

Search results