Group-based local adaptive deep multiple kernel learning with lp norm

The deep multiple kernel Learning (DMKL) method has attracted wide attention due to its better classification performance than shallow multiple kernel learning. However, the existing DMKL methods are hard to find suitable global model parameters to improve classification accuracy in numerous dataset...

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Detalles Bibliográficos
Autores principales: Ren, Shengbing, Liu, Fa, Zhou, Weijia, Feng, Xian, Siddique, Chaudry Naeem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498035/
https://www.ncbi.nlm.nih.gov/pubmed/32941468
http://dx.doi.org/10.1371/journal.pone.0238535

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498035/
https://www.ncbi.nlm.nih.gov/pubmed/32941468
http://dx.doi.org/10.1371/journal.pone.0238535

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