A Fast Incremental Gaussian Mixture Model

This work builds upon previous efforts in online incremental learning, namely the Incremental Gaussian Mixture Network (IGMN). The IGMN is capable of learning from data streams in a single-pass by improving its model after analyzing each data point and discarding it thereafter. Nevertheless, it suff...

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Detalles Bibliográficos
Autores principales: Pinto, Rafael Coimbra, Engel, Paulo Martins
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596621/
https://www.ncbi.nlm.nih.gov/pubmed/26444880
http://dx.doi.org/10.1371/journal.pone.0139931

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4596621/
https://www.ncbi.nlm.nih.gov/pubmed/26444880
http://dx.doi.org/10.1371/journal.pone.0139931

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