Ensemble Modeling with a Bayesian Maximal Information Coefficient-Based Model of Bayesian Predictions on Uncertainty Data

Ensemble Modeling with a Bayesian Maximal Information Coefficient-Based Model of Bayesian Predictions on Uncertainty Data

Uncertainty presents unfamiliar circumstances or incomplete information that may be difficult to handle with a single model of a traditional machine learning algorithm. They are possibly limited by inadequate data, an ambiguous model, and learning performance to make a prediction. Therefore, ensembl...

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Bibliographic Details
Main Authors: Tisinee Surapunt, Shuliang Wang
Format: Article
Language:English
Published: MDPI AG 2024-04-01
Series:Information
Subjects:
ensemble modeling
uncertainty data
Bayesian prediction
Bayesian maximal information coefficient (BMIC)
Online Access:https://www.mdpi.com/2078-2489/15/4/228

Internet

https://www.mdpi.com/2078-2489/15/4/228

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