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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Bibliographic Details

Published in:	arXiv.org
Main Authors:	Hishinuma, Kazuhiro, Iiduka, Hideaki
Format:	Paper
Language:	English
Published:	Ithaca Cornell University Library, arXiv.org 09.08.2019
Subjects:	Algorithms Computational geometry Convex analysis Convexity Hilbert space Iterative methods Microprocessors Optimization Run time (computers) Search methods
ISSN:	2331-8422
Online Access:	Get full text
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