Online regression with unbounded sampling

DOI10.1080/00207160.2011.587510zbMath1237.68146OpenAlexW2043729259MaRDI QIDQ2885522

Cheng Wang, Zheng-Chu Guo

Publication date: 23 May 2012

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160.2011.587510

zbMATH Keywords

learning theoryreproducing kernel Hilbert spacesonline learningregressionunbounded sampling process

Mathematics Subject Classification ID

General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (2)

Support vector machines regression with unbounded sampling ⋮ Analysis of Regression Algorithms with Unbounded Sampling

Cites Work

• Optimal learning rates for least squares regularized regression with unbounded sampling
• Optimum bounds for the distributions of martingales in Banach spaces
• Optimal rates for the regularized least-squares algorithm
• Online learning algorithms
• Shannon sampling. II: Connections to learning theory
• Learning theory estimates via integral operators and their approximations
• Learning Theory
• Online Regularized Classification Algorithms
• ONLINE LEARNING WITH MARKOV SAMPLING

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