Unified approach to coefficient-based regularized regression

DOI10.1016/j.camwa.2011.05.034zbMath1228.62044OpenAlexW2019022041MaRDI QIDQ651513

Shao-Gao Lv, Yun-Long Feng

Publication date: 18 December 2011

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2011.05.034

zbMATH Keywords

learning ratesdata dependent hypothesis spaces\(\ell ^{2}\)-empirical covering number\(l^{q}\)-regularizer

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Artificial intelligence (68T99)

Related Items (12)

Error analysis for \(l^q\)-coefficient regularized moving least-square regression ⋮ Statistical consistency of coefficient-based conditional quantile regression ⋮ Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection ⋮ Sharp learning rates of coefficient-based \(l^q\)-regularized regression with indefinite kernels ⋮ On the convergence rate of kernel-based sequential greedy regression ⋮ Error analysis for coefficient-based regularized regression in additive models ⋮ A simpler approach to coefficient regularized support vector machines regression ⋮ Constructive analysis for coefficient regularization regression algorithms ⋮ Learning Rates of l^q Coefficient Regularization Learning with Gaussian Kernel ⋮ Coefficient-based \(l^q\)-regularized regression with indefinite kernels and unbounded sampling ⋮ A pectoral muscle segmentation algorithm for digital mammograms using otsu thresholding and multiple regression analysis ⋮ CONVERGENCE ANALYSIS OF COEFFICIENT-BASED REGULARIZATION UNDER MOMENT INCREMENTAL CONDITION

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