AI-powered ensemble machine learning to optimize cost strategies in logistics business

Author:

Yaiprasert ChairoteORCID,Hidayanto Achmad Nizar

Funder

Walailak University

Universitas Indonesia

Publisher

Elsevier BV

Subject

Library and Information Sciences,Industrial and Manufacturing Engineering,Information Systems and Management,Information Systems,Artificial Intelligence,Management Information Systems

Reference51 articles.

1. Minimally overfitted learners: A general framework for ensemble learning;Aceña,2022

2. Solving the product uncertainty hurdle in social commerce: The mediating role of seller uncertainty;Al-Adwan;International Journal of Information Management Data Insights,2023

3. DC neural networks avoid overfitting in one-dimensional nonlinear regression;Beltrán-Royo;Knowledge Based Systems,2023

4. Introduction to Machine Learning;Bernard,2021

5. Guidelines for applied machine learning in construction industry-a case of profit margins estimation;Bilal;Advanced Engineering Informatics,2020

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