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Found 2 papers, 1 papers with code
Attitudes and Latent Class Choice Models using Machine learning
Latent Class Choice Models (LCCM) are extensions of discrete choice models (DCMs) that capture unobserved heterogeneity in the choice process by segmenting the population based on the assumption of preference similarities.
Combining Discrete Choice Models and Neural Networks through Embeddings: Formulation, Interpretability and Performance
The novelty of our work lies in enforcing interpretability to the embedding vectors by formally associating each of their dimensions to a choice alternative.
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