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dc.contributor.authorWang, Y.
dc.contributor.authorLiu, Wan-Quan
dc.contributor.authorCaccetta, Louis
dc.contributor.authorZhou, Guanglu
dc.date.accessioned2017-01-30T14:21:59Z
dc.date.available2017-01-30T14:21:59Z
dc.date.created2015-08-31T20:00:40Z
dc.date.issued2015
dc.identifier.citationWang, Y. and Liu, W. and Caccetta, L. and Zhou, G. 2015. Parameter selection for nonnegative l1 matrix/tensor sparse decomposition. Operations Research Letters. 43: pp. 423-426.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/38485
dc.identifier.doi10.1016/j.orl.2015.06.005
dc.description.abstract

For the nonnegative l1 matrix/tensor sparse decomposition problem, we derive a threshold bound for the parameters beyond which all the decomposition factors are zero. The obtained result provides a guideline on selection for l1 regularization parameters and extends the corresponding result on Lasso optimization problem.

dc.publisherElsevier
dc.subjectThreshold bound
dc.subjectGlobal optimal solution
dc.subjectZero solution
dc.subjectRegularization parameter
dc.subjectSparse decomposition
dc.titleParameter selection for nonnegative l1 matrix/tensor sparse decomposition
dc.typeJournal Article
dcterms.source.volume43
dcterms.source.startPage423
dcterms.source.endPage426
dcterms.source.issn0167-6377
dcterms.source.titleOperations Research Letters
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


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