Sparse kernel learning with LASSO and Bayesian inference algorithm

DOI10.1016/j.neunet.2009.07.001zbMath1396.68090DBLPjournals/nn/GaoKS10OpenAlexW2003996555WikidataQ45928462 ScholiaQ45928462MaRDI QIDQ1784554

Daming Shi, Paul W. Kwan, Junbin Gao

Publication date: 27 September 2018

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.07.001

zbMATH Keywords

Bayesian inferenceLASSOkernel modelsRVM

Mathematics Subject Classification ID

Ridge regression; shrinkage estimators (Lasso) (62J07) Bayesian inference (62F15) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (7)

Detection of multiple undocumented change-points using adaptive Lasso ⋮ Preference disaggregation and statistical learning for multicriteria decision support: A review ⋮ On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning ⋮ Spectral stochastic isogeometric analysis for linear stability analysis of plate ⋮ SGL-SVM: a novel method for tumor classification via support vector machine with sparse group lasso ⋮ HYPER-PARAMETER SELECTION FOR SPARSE LS-SVM VIA MINIMIZATION OF ITS LOCALIZED GENERALIZATION ERROR ⋮ Multikernel Regression with Sparsity Constraint

Uses Software

• ElemStatLearn

Cites Work

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• L1 LASSO Modeling and Its Bayesian Inference
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