Minimum Description Length and Multi-Criteria Decision Analysis in Predictive Modeling

Accurate model selection is essential in predictive modelling across various domains, significantly impacting decision-making and resource allocation. Despite extensive research, the model selection process remains challenging. This work aims to integrate the Minimum Description Length principle wit...

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Bibliografiske detaljer

Principais autores:	Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2025-01-01
Serier:	IEEE Access
Fag:	Multicriteria decision analysis minimum model length machine learning model selection prediction MDL-MCDA
Online adgang:	https://ieeexplore.ieee.org/document/10849532/
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