A sparse grid based method for generative dimensionality reduction of high-dimensional data
type: Item
instance of: scholarly article
title: A sparse grid based method for generative dimensionality reduction of high-dimensional data
zbMATH Open document ID: 1351.62120
author: Bastian Bohn
author: Jochen Garcke
author: Michael Griebel
published in: Journal of Computational Physics
publication date: 2016-12-20T00:00:00Z
Mathematics Subject Classification ID: 62H25
Mathematics Subject Classification ID: 62J10
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 6666821
zbMATH Keywords: generative models
zbMATH Keywords: machine learning
zbMATH Keywords: sparse grids
zbMATH Keywords: dimensionality reduction
zbMATH Keywords: numerical simulation data
zbMATH Keywords: car-crash analysis
describes a project that uses: GTM
MaRDI profile type: Publication
full work available at URL: j.jcp.2015.12.033
OpenAlex ID: W2202181264
cites work: Learning Theory
cites work: A distribution-free theory of nonparametric regression
cites work: Q4261789
cites work: Nonlinear Dimensionality Reduction
cites work: 10.1162/15324430152748227
cites work: Q3286740
cites work: Dimensionality reduction of high-dimensional data with a nonlinear principal component aligned generative topographic mapping
cites work: Principal manifold learning by sparse grids
cites work: Sparse grids
cites work: ENABLING THE ANALYSIS OF FINITE ELEMENT SIMULATION BUNDLES
cites work: On Learning Vector-Valued Functions
cites work: Practical approaches to principal component analysis in the presence of missing values
cites work: Adaptive sparse grid multilevel methods for elliptic PDEs based on finite differences
cites work: Spatially adaptive sparse grids for high-dimensional data-driven problems
DOI: 10.1016/J.JCP.2015.12.033
Recommended article: Spatially adaptive sparse grids for high-dimensional data-driven problems
Recommended article: A dimension adaptive sparse grid combination technique for machine learning
Recommended article: Estimating a sparse reduction for general regression in high dimensions
Recommended article: Dimensionality reduction of high-dimensional data with a nonlinear principal component aligned generative topographic mapping
Recommended article: Principal manifold learning by sparse grids
Recommended article: Q4607975
Recommended article: Grassmannian Diffusion Maps--Based Dimension Reduction and Classification for High-Dimensional Data
Recommended article: Sparse supervised dimension reduction in high dimensional classification
description: scientific article; zbMATH DE number 6666821