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pro vyhledávání: '"Bierlaire, Michel"'
The application of kernel-based Machine Learning (ML) techniques to discrete choice modelling using large datasets often faces challenges due to memory requirements and the considerable number of parameters involved in these models. This complexity h
Externí odkaz:
http://arxiv.org/abs/2402.06763
Autor:
Geržinič, Nejc, Cats, Oded, van Oort, Niels, Hoogendoorn-Lanser, Sascha, Bierlaire, Michel, Hoogendoorn, Serge
Understanding user's perception of service variability is essential to discern their overall perception of any type of (transport) service. We study the perception of waiting time variability for ride-hailing services. We carried out a stated prefere
Externí odkaz:
http://arxiv.org/abs/2301.04982
Ride-sourcing services offered by companies like Uber and Didi have grown rapidly in the last decade. Understanding the demand for these services is essential for planning and managing modern transportation systems. Existing studies develop statistic
Externí odkaz:
http://arxiv.org/abs/2212.02178
Conditionality has become a core component for Generative Adversarial Networks (GANs) for generating synthetic images. GANs are usually using latent conditionality to control the generation process. However, tabular data only contains manifest variab
Externí odkaz:
http://arxiv.org/abs/2210.02404
Synthetic data can be used in various applications, such as correcting bias datasets or replacing scarce original data for simulation purposes. Generative Adversarial Networks (GANs) are considered state-of-the-art for developing generative models. H
Externí odkaz:
http://arxiv.org/abs/2203.03489
Publikováno v:
In Transportation Research Part A April 2024 182
Publikováno v:
In Journal of Choice Modelling March 2024 50
Publikováno v:
Journal of Choice Modelling 38 (2019): 100226
The emergence of Big Data has enabled new research perspectives in the discrete choice community. While the techniques to estimate Machine Learning models on a massive amount of data are well established, these have not yet been fully explored for th
Externí odkaz:
http://arxiv.org/abs/2012.12155
Publikováno v:
In Transportation Research Part C December 2023 157