RT Book, Section
T1 Learning stable weights for data of varying dimension
A1 Beliakov, G.
A1 James, S.
A1 Gómez González, Daniel
A1 Rodríguez González, Juan Tinguaro
A1 Montero De Juan, Francisco Javier
A2 Baczy�nski, Michal
A2 De Baets, Bernard
A2 Mesiar, Radko
AB In this paper we develop a data-driven weight learning method for weighted quasiarithmetic means where the observed data may vary in dimension.
PB TOTEM.COM.PL SP
SN 978-83-8012-519-3
YR 2015
FD 2015
LK https://hdl.handle.net/20.500.14352/35762
UL https://hdl.handle.net/20.500.14352/35762
LA eng
NO Gobierno de España
NO Comunidad de Madrid
NO Universidad Complutense de Madrid
DS Docta Complutense
RD 17 abr 2025