Incremental and Parallel Machine Learning Algorithms With Automated Learning Rate Adjustments

The existing machine learning algorithms for minimizing the convex function over a closed convex set suffer from slow convergence because their learning rates must be determined before running them. This paper proposes two machine learning algorithms incorporating the line search method, which autom...

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Detalles Bibliográficos
Autores principales: Hishinuma, Kazuhiro, Iiduka, Hideaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Robotics and AI
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805887/
https://www.ncbi.nlm.nih.gov/pubmed/33501092
http://dx.doi.org/10.3389/frobt.2019.00077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805887/
https://www.ncbi.nlm.nih.gov/pubmed/33501092
http://dx.doi.org/10.3389/frobt.2019.00077

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