Approaches to learning strictly-stable weights for data with missing values

Beliakov, Gleb, Gómez, Daniel, James, Simon, Montero, Javier and Rodríguez, J. Tinguaro 2017, Approaches to learning strictly-stable weights for data with missing values, Fuzzy Sets and Systems, vol. 325, pp. 97-113, doi: 10.1016/j.fss.2017.02.003.

Attached Files
Name Description MIMEType Size Downloads

Title Approaches to learning strictly-stable weights for data with missing values
Author(s) Beliakov, GlebORCID iD for Beliakov, Gleb
Gómez, Daniel
James, SimonORCID iD for James, Simon
Montero, Javier
Rodríguez, J. Tinguaro
Journal name Fuzzy Sets and Systems
Volume number 325
Start page 97
End page 113
Total pages 17
Publisher Elsevier BV
Place of publication Amsterdam, The Netherlands
Publication date 2017-10-15
ISSN 0165-0114
Keyword(s) aggregation functions
strict stability
missing data
weight learning
linear programming
Science & Technology
Physical Sciences
Computer Science, Theory & Methods
Mathematics, Applied
Statistics & Probability
Computer Science
Language eng
DOI 10.1016/j.fss.2017.02.003
Field of Research 0101 Pure Mathematics
0801 Artificial Intelligence And Image Processing
HERDC Research category C1.1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2017, Elsevier B.V.
Persistent URL

Document type: Journal Article
Collection: School of Information Technology
Connect to link resolver
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 2 times in TR Web of Science
Scopus Citation Count Cited 4 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 86 Abstract Views, 1 File Downloads  -  Detailed Statistics
Created: Mon, 03 Jul 2017, 15:25:29 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact