Sparse kernel learning with LASSO and Bayesian inference algorithm
type: Item
instance of: scholarly article
title: Sparse kernel learning with LASSO and Bayesian inference algorithm
zbMATH Open document ID: 1396.68090
author: Junbin Gao
author: Paul W. Kwan
author: Daming Shi
published in: Neural Networks
publication date: 2018-09-27T00:00:00Z
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62J07
zbMATH DE Number: 6944360
zbMATH Keywords: LASSO
zbMATH Keywords: RVM
zbMATH Keywords: Bayesian inference
zbMATH Keywords: kernel models
Wikidata QID: Q45928462
describes a project that uses: ElemStatLearn
MaRDI profile type: Publication
full work available at URL: j.neunet.2009.07.001
OpenAlex ID: W2003996555
cites work: A direct active set algorithm for large sparse quadratic programs with simple bounds
cites work: An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
cites work: Least angle regression. (With discussion)
cites work: Robust L1 Principal Component Analysis and Its Bayesian Variational Inference
cites work: L1 LASSO Modeling and Its Bayesian Inference
cites work: Q4415179
cites work: On a class of support vector kernels based on frames in function Hilbert spaces
cites work: Significant vector learning to construct sparse kernel regression models
cites work: The elements of statistical learning. Data mining, inference, and prediction
cites work: Q3870155
cites work: Relaxed Lasso
cites work: The Bayesian Lasso
cites work: 10.1162/153244303322753698
cites work: Q4473256
cites work: Q4784077
cites work: Q4864293
cites work: 10.1162/15324430152748236
cites work: Q4261789
DBLP publication ID: journals/nn/GaoKS10
DOI: 10.1016/J.NEUNET.2009.07.001
description: scientific article; zbMATH DE number 6944360