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A quasi-Newton acceleration for high-dimensional optimization algorithms

In many statistical problems, maximum likelihood estimation by an EM or MM algorithm suffers from excruciatingly slow convergence. This tendency limits the application of these algorithms to modern high-dimensional problems in data mining, genomics, and imaging. Unfortunately, most existing accelera...

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Detalhes bibliográficos
Main Authors: Zhou, Hua, Alexander, David, Lange, Kenneth
Formato: Artigo
Idioma:Inglês
Publicado em: 2011
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3045213/
https://ncbi.nlm.nih.gov/pubmed/21359052
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11222-009-9166-3
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