Optimization of on-line principal component analysis

DOI10.1088/0305-4470/32/22/306zbMath0981.82016arXivcond-mat/9812114OpenAlexW2139727227WikidataQ61968784 ScholiaQ61968784MaRDI QIDQ4950533

E. Schlösser, David Saad, Michael Biehl

Publication date: 6 April 2000

Published in: Journal of Physics A: Mathematical and General (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/9812114

zbMATH Keywords

node-dependent learning-rateson-line principal component analysisunsupervised on-line learning algorithms

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

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