![](/images/graphics-bg.png)
Distance Based Multiple Kernel ELM: A Fast Multiple Kernel Learning Approach
Joint Authors
Liu, Xin-Wang
Zhu, Chengzhang
Liu, Qiang
Ming, Yuewei
Yin, Jianping
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-27
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
We propose a distance based multiple kernel extreme learning machine (DBMK-ELM), which provides a two-stage multiple kernel learning approach with high efficiency.
Specifically, DBMK-ELM first projects multiple kernels into a new space, in which new instances are reconstructed based on the distance of different sample labels.
Subsequently, an l 2 -norm regularization least square, in which the normal vector corresponds to the kernel weights of a new kernel, is trained based on these new instances.
After that, the new kernel is utilized to train and test extreme learning machine (ELM).
Extensive experimental results demonstrate the superior performance of the proposed DBMK-ELM in terms of the accuracy and the computational cost.
American Psychological Association (APA)
Zhu, Chengzhang& Liu, Xin-Wang& Liu, Qiang& Ming, Yuewei& Yin, Jianping. 2015. Distance Based Multiple Kernel ELM: A Fast Multiple Kernel Learning Approach. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073643
Modern Language Association (MLA)
Zhu, Chengzhang…[et al.]. Distance Based Multiple Kernel ELM: A Fast Multiple Kernel Learning Approach. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073643
American Medical Association (AMA)
Zhu, Chengzhang& Liu, Xin-Wang& Liu, Qiang& Ming, Yuewei& Yin, Jianping. Distance Based Multiple Kernel ELM: A Fast Multiple Kernel Learning Approach. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073643
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073643