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

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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Bibliographic Details
Main Authors: Petr Silhavy, Katerina Hlavackova-Schindler, Radek Silhavy
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Multicriteria decision analysis
minimum model length
machine learning
model selection prediction
MDL-MCDA
Online Access:https://ieeexplore.ieee.org/document/10849532/
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https://ieeexplore.ieee.org/document/10849532/

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