New Scalable and Efficient Online Pairwise Learning Algorithm

Pairwise learning is an important machine-learning topic with many practical applications. An online algorithm is the first choice for processing streaming data and is preferred for handling large-scale pairwise learning problems. However, existing online pairwise learning algorithms are not scalabl...

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Bibliographic Details

Published in:	IEEE transaction on neural networks and learning systems Vol. 35; no. 12; pp. 17099 - 17110
Main Authors:	Gu, Bin, Bao, Runxue, Zhang, Chenkang, Huang, Heng
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.12.2024
Subjects:	Doubly stochastic gradient algorithm Electronic learning Heuristic algorithms Machine learning Measurement online learning pairwise learning Scalability statistical accuracy Statistics Stochastic processes Training
ISSN:	2162-237X, 2162-2388, 2162-2388
Online Access:	Get full text
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