Extreme learning machine for regression and multiclass classification
Due to the simplicity of their implementations, least square support vector machine (LS-SVM) and proximal support vector machine (PSVM) have been widely used in binary classification applications. The conventional LS-SVM and PSVM cannot be used in regression and multiclass classification application...
Saved in:
Main Authors: | Huang, Guang-Bin, Zhou, Hongming, Ding, Xiaojian, Zhang, Rui |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/96388 http://hdl.handle.net/10220/11436 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Extreme learning machine for classification and regression
by: Zhou, Hongming
Published: (2014) -
Credit risk evaluation with extreme learning machine
by: Zhou, Hongming, et al.
Published: (2013) -
Extreme learning machine based fast object recognition
by: Xu, Jiantao, et al.
Published: (2014) -
Voting base online sequential extreme learning machine for multi-class classification
by: Cao, Jiuwen, et al.
Published: (2013) -
Advances in Extreme Learning Machines (ELM2011)
by: Huang, Guang-Bin, et al.
Published: (2013)