Kernel based algorithms for mining huge data sets. Supervised, semi-supervised, and unsupervised learning.
type: Item
instance of: scholarly article
title: Kernel based algorithms for mining huge data sets. Supervised, semi-supervised, and unsupervised learning.
zbMATH Open document ID: 1138.68493
author: Te-Ming Huang
author: Vojislav Kecman
author: Ivica Kopriva
published in: Studies in Computational Intelligence
publication date: 2006-04-03T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68-01
zbMATH DE Number: 5016862
zbMATH Keywords: Principal Component Analysis
zbMATH Keywords: Independent Component Analysis
describes a project that uses: Matlab
describes a project that uses: SVMlight
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 5016862