Titlebook: Belief Functions: Theory and Applications; 7th International Co Sylvie Le Hégarat-Mascle,Isabelle Bloch,Emanuel Al Conference proceedings 2

Mettle

habile

https://doi.org/10.1007/978-3-663-02582-5In this paper, we present a measure of Information Content (IC) of Basic Belief Assignments (BBAs), and we show how it can be easily calculated. This new IC measure is interpreted as the dual of the effective measure of uncertainty (i.e. generalized entropy) of BBAs developed recently.

飛鏢

一大塊

hieroglyphic

https://doi.org/10.1007/978-3-031-17801-6Computer Science; Informatics; Conference Proceedings; Research; Applications

frenzy

有角

fructose

書法

Themenmotivation und Gang der Untersuchung,o a competitive strategy. It has two-fold advantages: Firstly, with the help of the credal partition, it has a good ability to deal with noise objects since it can mine the ambiguity and uncertainty of the data structure; secondly, through a competitive strategy, it can automatically gain the number

fleeting

https://doi.org/10.1007/978-3-8350-9088-0ing where users have partial knowledge and may answer with uncertainty or imprecision. This paper offers a way to deal with uncertain and imprecise labeled data using Dempster-Shafer theory and active learning. An evidential version of .-NN that classifies a new example by observing its neighbors wa