Regularized least square regression with unbounded and dependent sampling

DOI10.1155/2013/139318zbMath1273.62208OpenAlexW1994904367WikidataQ58915348 ScholiaQ58915348MaRDI QIDQ369717

Hongwei Sun, Xiaorong Chu

Publication date: 19 September 2013

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2013/139318

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (7)

Convergence rate for the moving least-squares learning with dependent sampling ⋮ Online regularized pairwise learning with non-i.i.d. observations ⋮ Fast learning from \(\alpha\)-mixing observations ⋮ Support vector machines regression with unbounded sampling ⋮ Convergence rate of SVM for kernel-based robust regression ⋮ Analysis of Regression Algorithms with Unbounded Sampling ⋮ Coefficient-based regularized regression with dependent and unbounded sampling

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