The dynamics of on-line principal component analysis

DOI10.1088/0305-4470/31/5/002zbMath0942.82021OpenAlexW2072034229WikidataQ61968794 ScholiaQ61968794MaRDI QIDQ4486368

E. Schlösser, Michael Biehl

Publication date: 26 June 2000

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

Full work available at URL: https://semanticscholar.org/paper/a8061bf0a65b7d8b21eeefe08d0359a8f4b3ee62

zbMATH Keywords

thermodynamic limitprincipal component analysison-line algorithmcoupled ordinary differential equationslearning dynamicsSanger's rule

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

Related Items (2)

Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis ⋮ The scaling limit of high-dimensional online independent component analysis

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