Unsupervised slow subspace-learning from stationary processes

DOI10.1016/j.tcs.2008.06.054zbMath1158.68037OpenAlexW2169501730MaRDI QIDQ950200

Andreas Maurer

Publication date: 22 October 2008

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2008.06.054

zbMATH Keywords

unsupervised learningstationary processessubspace learningslowness

Mathematics Subject Classification ID

Stationary stochastic processes (60G10) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• On the Eigenspectrum of the Gram Matrix and the Generalization Error of Kernel-PCA
• Slow Feature Analysis: Unsupervised Learning of Invariances
• Learning Theory
• Measure and integration theory. Transl. from the German by Robert B. Burckel

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