A distributed ensemble of relevance vector machines for large-scale data sets on Spark
type: Item
instance of: scholarly article
title: A distributed ensemble of relevance vector machines for large-scale data sets on Spark
zbMATH Open document ID: 1498.68258
author: Yanyan Li
published in: Soft Computing
publication date: 2022-11-18T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 7619715
zbMATH Keywords: relevance vector machine
zbMATH Keywords: ensemble learning
zbMATH Keywords: AdaBoost
zbMATH Keywords: diversity
zbMATH Keywords: large-scale data sets
zbMATH Keywords: Spark
describes a project that uses: MLlib
describes a project that uses: GraphLab
describes a project that uses: Hadoop
describes a project that uses: Apache Spark
MaRDI profile type: Publication
full work available at URL: s00500-021-05671-y
OpenAlex ID: W3135238933
cites work: Sparse on-line Gaussian processes
cites work: Accelerating relevance-vector-machine-based classification of hyperspectral image with parallel computing
cites work: Measures of diversity in classifier ensembles and their relationship with the ensemble accuracy
cites work: MLlib: machine learning in Apache Spark
cites work: An analysis of diversity measures
cites work: 10.1162/15324430152748236
DOI: 10.1007/S00500-021-05671-Y
description: scientific article; zbMATH DE number 7619715