Kernel Least-Squares Models Using Updates of the Pseudoinverse

DOI10.1162/NECO.2006.18.12.2928zbMath1107.68073OpenAlexW2013433165WikidataQ51930657 ScholiaQ51930657MaRDI QIDQ3421373

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Publication date: 12 February 2007

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

Full work available at URL: https://doi.org/10.1162/neco.2006.18.12.2928

zbMATH Keywords

reproducing kernel Hilbert spaces

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Fundamentals of cone regression ⋮ Adaptive kernel canonical correlation analysis algorithms for nonparametric identification of Wiener and Hammerstein systems

Cites Work

• Bayesian Framework for Least-Squares Support Vector Machine Classifiers, Gaussian Processes, and Kernel Fisher Discriminant Analysis
• Sparse Approximate Solutions to Linear Systems
• Matching pursuits with time-frequency dictionaries
• Soft margins for AdaBoost

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