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0111 · Mar 201619922001200920172026
2 results for PCMC

PCMC-Net uses neural networks to estimate transition rates in choice models, improving accuracy over traditional methods.

problem Inference limitations of traditional PCMC models when examples are scarce or new alternatives are observed.
method Amortized inference approach embedding PCMC definition into a neural network.
result Neural network outperforms feature engineered and machine learning models in airline booking prediction.

As datasets capturing human choices grow in richness and scale -- particularly in online domains -- there is an increasing need for choice models that escape traditional choice-theoretic axioms such as regularity, stochastic transitivity, and Luce's choice axiom. In this work we introduce the Pairwise Choice Markov Cha…

2016-03-08abs ↗pdf ↗