Robust Matching Pursuit Extreme Learning Machines
Joint Authors
Cao, Jiuwen
Chen, Badong
Yuan, Zejian
Wang, Xin
Zhao, Haiquan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Extreme learning machine (ELM) is a popular learning algorithm for single hidden layer feedforward networks (SLFNs).
It was originally proposed with the inspiration from biological learning and has attracted massive attentions due to its adaptability to various tasks with a fast learning ability and efficient computation cost.
As an effective sparse representation method, orthogonal matching pursuit (OMP) method can be embedded into ELM to overcome the singularity problem and improve the stability.
Usually OMP recovers a sparse vector by minimizing a least squares (LS) loss, which is efficient for Gaussian distributed data, but may suffer performance deterioration in presence of non-Gaussian data.
To address this problem, a robust matching pursuit method based on a novel kernel risk-sensitive loss (in short KRSLMP) is first proposed in this paper.
The KRSLMP is then applied to ELM to solve the sparse output weight vector, and the new method named the KRSLMP-ELM is developed for SLFN learning.
Experimental results on synthetic and real-world data sets confirm the effectiveness and superiority of the proposed method.
American Psychological Association (APA)
Yuan, Zejian& Wang, Xin& Cao, Jiuwen& Zhao, Haiquan& Chen, Badong. 2018. Robust Matching Pursuit Extreme Learning Machines. Scientific Programming،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1214699
Modern Language Association (MLA)
Yuan, Zejian…[et al.]. Robust Matching Pursuit Extreme Learning Machines. Scientific Programming No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1214699
American Medical Association (AMA)
Yuan, Zejian& Wang, Xin& Cao, Jiuwen& Zhao, Haiquan& Chen, Badong. Robust Matching Pursuit Extreme Learning Machines. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1214699
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214699