Stochastic Trapping in a Solvable Model of On-Line Independent Component Analysis

DOI10.1162/08997660252741185zbMath0993.68084arXivcond-mat/0105057OpenAlexW2113472799WikidataQ52047959 ScholiaQ52047959MaRDI QIDQ2780865

Magnus Rattray

Publication date: 29 September 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/cond-mat/0105057

zbMATH Keywords

on-line independent component analysis

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

A minimal model of the interaction of social and individual learning ⋮ The scaling limit of high-dimensional online independent component analysis

Cites Work

• Independent component analysis by general nonlinear Hebbian-like learning rules
• The dynamics of on-line principal component analysis
• Learning by on-line gradient descent

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