Optimization Methods For Large-Scale Machine Learning

This paper mainly completes the binary classification of RCV1 text data set by logistic regression. Based on the established logistic regression model, the performance and characteristics of three numerical optimization algorithms-random gradient descent, Mini-Batch random gradient and L-BFGS are st...

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Bibliographic Details

Published in:	International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (Online) pp. 304 - 308
Main Authors:	Gao, Yuan, Li, Jianping, Zhou, Yue, Xiao, Fei, Liu, He
Format:	Conference Proceeding
Language:	English
Published:	IEEE 17.12.2021
Subjects:	Information processing L-BFGS Logistic regression Machine learning Machine learning algorithms Media Mini-Batch random gradient Numerical models Optimization methods Parallel processing
ISSN:	2576-8964
Online Access:	Get full text
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