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Experimental Design on a Budget for Sparse Linear Models and Applications

Budget constrained optimal design of experiments is a well studied problem. Although the literature is very mature, not many strategies are available when these design problems appear in the context of sparse linear models commonly encountered in high dimensional machine learning. In this work, we s...

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Bibliografische gegevens
Gepubliceerd in:JMLR Workshop Conf Proc
Hoofdauteurs: Ravi, Sathya N., Ithapu, Vamsi K., Johnson, Sterling C., Singh, Vikas
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2016
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5415092/
https://ncbi.nlm.nih.gov/pubmed/28479945
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