An Efficient Feature Weighting Method for Support Vector Regression
An Efficient Feature Weighting Method for Support Vector Regression
About this item
Full title
Author / Creator
Publisher
New York: Hindawi
Journal title
Language
English
Formats
Publication information
Publisher
New York: Hindawi
Subjects
More information
Scope and Contents
Contents
Support vector regression (SVR) is a powerful kernel-based method which has been successfully applied in regression problems. Regarding the feature-weighted SVR algorithms, its contribution to model output has been taken into account. However, the performance of the model is subject to the feature weights and the time consumption on training. In th...
Alternative Titles
Full title
An Efficient Feature Weighting Method for Support Vector Regression
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2501177151
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2501177151
Other Identifiers
ISSN
1024-123X
E-ISSN
1563-5147
DOI
10.1155/2021/6675218
