Online ADMM-Based Extreme Learning Machine for Sparse Supervised Learning

Sparse learning is an efficient technique for feature selection and avoiding overfitting in machine learning research areas. Considering sparse learning for real-world problems with online learning demands in neural networks, an online sparse supervised learning of extreme learning machine (ELM) alg...

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Bibliographic Details
Main Authors: Tianheng Song, Dazi Li, Zhiyin Liu, Weimin Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8710231/