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Discrete Choice Models

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Showing 1–25 of 104 papers

TitleStatusHype
Enhancing Discrete Choice Models with Representation LearningCode1
Choice Set Optimization Under Discrete Choice Models of Group DecisionsCode1
A prediction and behavioural analysis of machine learning methods for modelling travel mode choiceCode1
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and PerformanceCode1
Graph-Based Methods for Discrete ChoiceCode0
Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learningCode0
Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical SolutionCode0
Identification of Incomplete PreferencesCode0
Representing Random Utility Choice Models with Neural NetworksCode0
Robust discrete choice models with t-distributed kernel errorsCode0
A branch-and-cut algorithm for the latent-class logit assortment problemCode0
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation ModelingCode0
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and InterpretabilityCode0
Choice Set Confounding in Discrete ChoiceCode0
The Mixed Aggregate Preference Logit Model: A Machine Learning Approach to Modeling Unobserved Heterogeneity in Discrete Choice AnalysisCode0
Equality of opportunity in travel behavior prediction with deep neural networks and discrete choice modelsCode0
A utility-based spatial analysis of residential street-level conditions; A case study of Rotterdam—0
A tutorial on recursive models for analyzing and predicting path choice behavior—0
Attitudes and Latent Class Choice Models using Machine learning—0
A Recursive Partitioning Approach for Dynamic Discrete Choice Modeling in High Dimensional Settings—0
A Feedback Control Framework for Incentivised Suburban Parking Utilisation and Urban Core Traffic Relief—0
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models—0
Comparison of Discrete Choice Models and Artificial Neural Networks in Presence of Missing Variables—0
Computer vision-enriched discrete choice models, with an application to residential location choice—0
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark—0
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