Deakin University
Browse

File(s) under permanent embargo

Learning stable weights for data of varying dimension

Version 2 2024-06-04, 03:29
Version 1 2016-07-15, 10:09
conference contribution
posted on 2024-06-04, 03:29 authored by Gleb BeliakovGleb Beliakov, Simon JamesSimon James, D Gomez, JT Rodriguez, J Montero
In this paper we develop a data-driven weight learning method for weighted quasi-arithmetic means where the observed data may vary in dimension.

History

Pagination

49-54

Location

Katowice, Poland

Start date

2015-07-07

End date

2015-07-10

ISBN-13

9788380125193

Language

eng

Publication classification

E Conference publication, E1 Full written paper - refereed

Copyright notice

2015, [University of Silesia]

Editor/Contributor(s)

Baczyński M, De Baets B, Mesiar R

Title of proceedings

AGOP 2015: Proceeedings of the Aggregation Operators 2015 International Summer School

Event

Aggregation Operators. International Summer School (8th : 2015 : Katowice, Poland)

Publisher

[University of Silesia]

Place of publication

[Katowice, Poland]

Usage metrics

    Research Publications

    Categories

    No categories selected

    Keywords

    aggregation functionsR-stabilitylinear programmingweights learning080108 Neural, Evolutionary and Fuzzy ComputationSchool of Information Technology970108 Expanding Knowledge in the Information and Computing Sciences

    Licence

    All Rights Reserved

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC