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Learning stable weights for data of varying dimension

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Beliakov, G. and James, S. and Gómez, D. and Rodríguez, Juan Tinguaro and Montero, Javier (2015) Learning stable weights for data of varying dimension. In Proceedings of 8th International Summer School on Aggregation Operators. TOTEM.COM.PL SP, Poland, pp. 49-54. ISBN 978-83-8012-519-3

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Official URL: http://agop.math.us.edu.pl/AGOP2015_proceedings.pdf#page=49



Abstract

In this paper we develop a data-driven weight learning method for weighted quasiarithmetic means where the observed data may vary in dimension.


Item Type:Book Section
Uncontrolled Keywords:Aggregation functions; Rstability;Linear programming; Weights learning
Subjects:Sciences > Mathematics > Logic, Symbolic and mathematical
ID Code:32436
Deposited On:22 Jul 2015 07:48
Last Modified:20 Apr 2016 14:31

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