Significant vector learning to construct sparse kernel regression models

DOI10.1016/j.neunet.2007.03.001zbMath1125.68094OpenAlexW2011544593WikidataQ51911363 ScholiaQ51911363MaRDI QIDQ2383041

Xiaomao Liu, Daming Shi, Junbin Gao

Publication date: 5 October 2007

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2007.03.001

zbMATH Keywords

relevance vector machineorthogonal least squaresignificant vector machineSparse kernel regression

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items

Inter-class sparsity based discriminative least square regression, Denoising low-rank discrimination based least squares regression for image classification, Sparse kernel learning with LASSO and Bayesian inference algorithm, Incremental kernel minimum squared error (KMSE)

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