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arXiv Machine Learning By Ali Aouad, Antoine D\'esir

Representing Random Utility Choice Models with Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2207. 12877v3 Announce Type: replace Abstract: Motivated by the successes of deep learning, we propose a class of neural network-based discrete choice models, called RUMnets, inspired by the random utility maximization (RUM) framework.

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