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Discrete Choice Models
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Bayesian Deep Learning for Discrete Choice
A Feedback Control Framework for Incentivised Suburban Parking Utilisation and Urban Core Traffic Relief
Two Level Nested and Sequential Logit
Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
Model-Adaptive Approach to Dynamic Discrete Choice Models with Large State Spaces
Universal Inference for Incomplete Discrete Choice Models
RUM-NN: A Neural Network Model Compatible with Random Utility Maximisation for Discrete Choice Setups
Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model
A utility-based spatial analysis of residential street-level conditions; A case study of Rotterdam
The Relevance of Item-Co-Exposure For Exposure Bias Mitigation
Sensitivity Analysis for Dynamic Discrete Choice Models
Deep Learning for the Estimation of Heterogeneous Parameters in Discrete Choice Models
Simulation in discrete choice models evaluation: SDCM, a simulation tool for performance evaluation of DCMs
Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach
Conditional Choice Probability Estimation of Dynamic Discrete Choice Models with 2-period Finite Dependence
The geometry of consumer preference aggregation
Quasi-Bayesian Estimation and Inference with Control Functions
The Mixed Aggregate Preference Logit Model: A Machine Learning Approach to Modeling Unobserved Heterogeneity in Discrete Choice Analysis
Evaluating the Determinants of Mode Choice Using Statistical and Machine Learning Techniques in the Indian Megacity of Bengaluru
Equilibrium Multiplicity: A Systematic Approach using Homotopies, with an Application to Chicago
Semiparametric Discrete Choice Models for Bundles
Transformer Choice Net: A Transformer Neural Network for Choice Prediction
Sharp and Robust Estimation of Partially Identified Discrete Response Models
Discrete Choice Multi-Armed Bandits
Discrete-Choice Model with Generalized Additive Utility Network
Existence of a Competitive Equilibrium with Substitutes, with Applications to Matching and Discrete Choice Models
Computer vision-enriched discrete choice models, with an application to residential location choice
A Neural Network Based Choice Model for Assortment Optimization
Semiparametric Discrete Choice Models for Bundles
Network-based Representations and Dynamic Discrete Choice Models for Multiple Discrete Choice Analysis
Incorporating Domain Knowledge in Deep Neural Networks for Discrete Choice Models
Enhanced multilayer perceptron with feature selection and grid search for travel mode choice prediction
A Data-Driven State Aggregation Approach for Dynamic Discrete Choice Models
Faster estimation of dynamic discrete choice models using index invertibility
Attitudes and Latent Class Choice Models using Machine learning
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.