On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice-Reference-Cited by-同舟云学术

On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice

Published:2023 Issue: Volume:11 Page:19762-19774
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Aghaabbasi Mahdi¹^ORCID,Ali Mujahid²^ORCID,Jasiński Michał³^ORCID,Leonowicz Zbigniew³^ORCID,Novák Tomáš⁴

Affiliation:

1. Transportation Institute, Chulalongkorn University, Bangkok, Thailand

2. Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, Katowice, Poland

3. Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wrocław University of Science and Technology, Wrocław, Poland

4. Department of Electrical Power Engineering, Faculty of Electrical Engineering and Computer Science, VSB—Technical University of Ostrava, Ostrava, Czech Republic

Funder

Studentská grantová soutěž [Student Grant Competition (SGS)]

VSB—the Technical University of Ostrava

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10049559.pdf?arnumber=10049559

Reference63 articles.

1. Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan

2. Commuter Mode Choice and Free Car Parking, Public Transportation Benefits, Showers/Lockers, and Bike Parking at Work: Evidence from the Washington, DC Region