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ISNN
2004
Springer

Sparse Bayesian Learning Based on an Efficient Subset Selection

14 years 5 months ago
Sparse Bayesian Learning Based on an Efficient Subset Selection
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale problems. Experiments on synthetic and benchmark data sets confirm the feasibility and validity of the proposed algorithm.
Liefeng Bo, Ling Wang, Licheng Jiao
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where ISNN
Authors Liefeng Bo, Ling Wang, Licheng Jiao
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