A general learning framework using local and global regularization
type: Item
instance of: scholarly article
title: A general learning framework using local and global regularization
zbMATH Open document ID: 1207.68252
author: Fei Wang
published in: Pattern Recognition
publication date: 2010-09-27T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 5791904
zbMATH Keywords: machine learning
zbMATH Keywords: local
zbMATH Keywords: global
zbMATH Keywords: regularization
MaRDI profile type: Publication
full work available at URL: j.patcog.2010.03.025
OpenAlex ID: W1978118438
cites work: Learning Theory
cites work: Towards a theoretical foundation for Laplacian-based manifold methods
cites work: Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
cites work: Q3174044
cites work: Q3093324
cites work: Principal component analysis.
cites work: Advances in large-margin classifiers
cites work: Q4856771
DOI: 10.1016/J.PATCOG.2010.03.025
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description: scientific article; zbMATH DE number 5791904