Nonparallel support vector machines for pattern classification
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 007-94657-5305
- Type
- D - Journal article
- DOI
-
10.1109/TCYB.2013.2279167
- Title of journal
- Ieee Transactions On Cybernetics
- Article number
- -
- First page
- 1067
- Volume
- 44
- Issue
- 7
- ISSN
- 2168-2267
- Open access status
- Out of scope for open access requirements
- Month of publication
- July
- Year of publication
- 2014
- URL
-
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6588589
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 149
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel nonparallel classifier is proposed and extensively evaluated. This new classifier has five important advantages over existing methods backed up by both solid theoretical foundations and extensive experimental results. Published in the top journal in Computer Science: Cybernetics according to the Web of Science, this paper has generated significant interests in the community according to the information on extensive citations by others.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
