Optimization by Adaptive Stochastic Descent

When standard optimization methods fail to find a satisfactory solution for a parameter fitting problem, a tempting recourse is to adjust parameters manually. While tedious, this approach can be surprisingly powerful in terms of achieving optimal or near-optimal solutions. This paper outlines an opt...

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Detalles Bibliográficos
Autores principales: Kerr, Cliff C., Dura-Bernal, Salvador, Smolinski, Tomasz G., Chadderdon, George L., Wilson, David P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856269/
https://www.ncbi.nlm.nih.gov/pubmed/29547665
http://dx.doi.org/10.1371/journal.pone.0192944

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856269/
https://www.ncbi.nlm.nih.gov/pubmed/29547665
http://dx.doi.org/10.1371/journal.pone.0192944

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