Unsupervised feature learning with sparse Bayesian auto-encoding based extreme learning machine

• Main Authors: Zhang, Guanghao, Cui, Dongshun, Mao, Shangbo, Huang, Guang-Bin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Extreme Learning Machine; Bayesian Learning
• Online Access: https://hdl.handle.net/10356/155192
• Institution: Nanyang Technological University

Extreme learning machine (ELM) is a popular method in machine learning with extremely few parameters, fast learning speed and model efficiency. Unsupervised feature learning based ELM receives rising research focus. Recently the ELM auto-encoder (ELM-AE) was proposed for this task, which develops th...