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A comparative study of machine learning, deep neural networks and random utility maximization models for travel mode choice modelling
Traditionally, Random Utility Maximization (RUM) models have been widely applied to travel mode choice modelling. Currently, Machine …
José Carlos García-García
,
Ricardo García Ródenas
,
Julio Alberto López-Gómez
,
José Ángel Martín-Baos
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DOI
A Python package for performing penalized maximum likelihood estimation of conditional logit models using Kernel Logistic Regression
In the last few years, the success of Machine Learning (ML) algorithms has led to the extension of their applications to areas such as …
José Ángel Martín-Baos
,
Ricardo García Ródenas
,
Luis Rodriguez-Benitez
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DOI
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