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 2015-01-01, 00:00 authored by Gleb BeliakovGleb Beliakov, Simon JamesSimon James, D Gomez, J T Rodriguez, J MonteroIn 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 - 54Publisher
[University of Silesia]Location
Katowice, PolandPlace of publication
[Katowice, Poland]Start date
2015-07-07End date
2015-07-10ISBN-13
9788380125193Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2015, [University of Silesia]Editor/Contributor(s)
M Baczyński, B De Baets, R MesiarTitle of proceedings
AGOP 2015: Proceeedings of the Aggregation Operators 2015 International Summer SchoolUsage metrics
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