Primal and dual model representations in kernel-based learning
type: Item
instance of: scholarly article
title: Primal and dual model representations in kernel-based learning
DOI: 10.1214/09-SS052
author: Johan A. K. Suykens
author: Carlos Alzate
author: Kristiaan Pelckmans
published in: Statistics Surveys
publication date: 2013-05-13T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ssu/1282746475
Mathematics Subject Classification ID: 62-XX
zbMATH DE Number: 6162223
zbMATH Keywords: kernel methods
zbMATH Keywords: support vector machines
zbMATH Keywords: constrained optimization
zbMATH Keywords: primal and dual problem
zbMATH Keywords: feature map
zbMATH Keywords: regression
zbMATH Keywords: classification
zbMATH Keywords: principal component analysis
zbMATH Keywords: spectral clustering
zbMATH Keywords: canonical correlation analysis
zbMATH Keywords: independence
zbMATH Keywords: dimensionality reduction and data visualization
zbMATH Keywords: sparseness
zbMATH Keywords: robustness
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
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OpenAlex ID: W2032326935
description: scientific article; zbMATH DE number 6162223