A Comparison Framework of Machine Learning Algorithms for Mixed-Type Variables Datasets: A Case Study on Tire-Performances Prediction

Many engineering applications in the automotive, aeronautic, rubber, mechanics, and manufacturing industries collect multiple datasets measuring physical relations between input variables and performances for modeling purposes. The challenge relies on that such data is often highly dimensional, non-...

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Bibliografske podrobnosti

Principais autores:	Leonardo Gutierrez-Gomez, Frank Petry, Djamel Khadraoui
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2020-01-01
Serija:	IEEE Access
Teme:	Mixed-type variables categorical encoding Friedman Nemenyi regression algorithms
Online dostop:	https://ieeexplore.ieee.org/document/9273039/
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