Learning stable weights for data of varying dimension
| Contribuinte(s) |
Baczyński, Michal De Baets, Bernard Mesiar, Radko |
|---|---|
| Data(s) |
01/01/2015
|
| Resumo |
In this paper we develop a data-driven weight learning method for weighted quasi-arithmetic means where the observed data may vary in dimension. |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
[University of Silesia] |
| Relação |
http://dro.deakin.edu.au/eserv/DU:30084918/beliakov-learningstable-2015.pdf http://dro.deakin.edu.au/eserv/DU:30084918/beliakov-learningstable-evid1-2015.pdf http://dro.deakin.edu.au/eserv/DU:30084918/beliakov-learningstable-evid2-2015.pdf |
| Direitos |
2015, [University of Silesia] |
| Palavras-Chave | #aggregation functions #R-stability #linear programming #weights learning |
| Tipo |
Conference Paper |
