Cargando…
Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters
Travel mode choice (TMC) prediction is crucial for transportation planning. Most previous studies have focused on TMC in adults, whereas predicting TMC in children has received less attention. On the other hand, previous children’s TMC prediction studies have generally focused on home-to-school TMC....
Autores principales: | Naseri, Hamed, Waygood, Edward Owen Douglas, Wang, Bobin, Patterson, Zachary |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779602/ https://www.ncbi.nlm.nih.gov/pubmed/36554720 http://dx.doi.org/10.3390/ijerph192416844 |
Ejemplares similares
-
Improving Genomic Prediction with Machine Learning Incorporating TPE for Hyperparameters Optimization
por: Liang, Mang, et al.
Publicado: (2022) -
Hyperparameter Optimization in Machine Learning: Make Your Machine Learning and Deep Learning Models More Efficient
por: Agrawal, Tanay
Publicado: (2020) -
Insight into the Nonlinear Effect of COVID-19 on Well-Being in China: Commuting, a Vital Ingredient
por: Dong, Yinan, et al.
Publicado: (2022) -
An Optimal Approach for Heart Sound Classification Using Grid Search in Hyperparameter Optimization of Machine Learning
por: Fuadah, Yunendah Nur, et al.
Publicado: (2022) -
Machine Learning-Based Boosted Regression Ensemble Combined with Hyperparameter Tuning for Optimal Adaptive Learning
por: Isabona, Joseph, et al.
Publicado: (2022)