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Learning stable weights for data of varying dimension

conference contribution
posted on 2015-01-01, 00:00 authored by Gleb BeliakovGleb Beliakov, Simon JamesSimon James, D Gomez, J T 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

Event

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

Pagination

49 - 54

Publisher

[University of Silesia]

Location

Katowice, Poland

Place of publication

[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)

M Baczyński, B De Baets, R Mesiar

Title of proceedings

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

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