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An online conjugate gradient algorithm for large-scale data analysis in machine learning
Author(s) -
Wei Xue,
Pengcheng Wan,
Qiao Li,
Ping Zhong,
Gaohang Yu,
Tao Tao
Publication year - 2021
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 15
ISSN - 2473-6988
DOI - 10.3934/math.2021092
Subject(s) - stochastic gradient descent , conjugate gradient method , algorithm , computer science , benchmark (surveying) , gradient descent , convergence (economics) , scale (ratio) , stability (learning theory) , rate of convergence , line search , artificial intelligence , function (biology) , online machine learning , machine learning , key (lock) , artificial neural network , physics , quantum mechanics , computer security , radius , geodesy , evolutionary biology , economic growth , economics , biology , geography

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