Regression Analysis Under Interval-Valued Targets as an Imprecise Classification Problem

Regression analysis with interval-valued outcomes presents a fundamental challenge in modeling data where uncertainty is inherent rather than incidental. Such data, arising naturally in fields ranging from meteorology to finance, require methods that preserve information about both central tendency...

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書目詳細資料

Principais autores:	Lev Utkin, Stanislav Kogan, Andrei Konstantinov, Vladimir Muliukha
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2026-02-01
叢編:	Algorithms
主題:	imprecise probabilities interval-valued targets classification regression attention mechanism
在線閱讀:	https://www.mdpi.com/1999-4893/19/3/166
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