Sample-Based Extreme Learning Machine with Missing Data
Joint Authors
Gao, Hang
Liu, Xin-Wang
Peng, Yu-Xing
Jian, Song-Lei
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Extreme learning machine (ELM) has been extensively studied in machine learning community during the last few decades due to its high efficiency and the unification of classification, regression, and so forth.
Though bearing such merits, existing ELM algorithms cannot efficiently handle the issue of missing data, which is relatively common in practical applications.
The problem of missing data is commonly handled by imputation (i.e., replacing missing values with substituted values according to available information).
However, imputation methods are not always effective.
In this paper, we propose a sample-based learning framework to address this issue.
Based on this framework, we develop two sample-based ELM algorithms for classification and regression, respectively.
Comprehensive experiments have been conducted in synthetic data sets, UCI benchmark data sets, and a real world fingerprint image data set.
As indicated, without introducing extra computational complexity, the proposed algorithms do more accurate and stable learning than other state-of-the-art ones, especially in the case of higher missing ratio.
American Psychological Association (APA)
Gao, Hang& Liu, Xin-Wang& Peng, Yu-Xing& Jian, Song-Lei. 2015. Sample-Based Extreme Learning Machine with Missing Data. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1072993
Modern Language Association (MLA)
Gao, Hang…[et al.]. Sample-Based Extreme Learning Machine with Missing Data. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1072993
American Medical Association (AMA)
Gao, Hang& Liu, Xin-Wang& Peng, Yu-Xing& Jian, Song-Lei. Sample-Based Extreme Learning Machine with Missing Data. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1072993
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1072993