Learning predictive choice models for decision optimization

Probabilistic predictive models are often used in decision optimization applications. Optimal decision making in these applications critically depends on the performance of the predictive models, especially the accuracy of their probability estimates. In this paper, we propose a probabilistic model...

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Bibliographic Details
Main Authors: Waheed Noor, M. N. Dailey, Peter Haddawy
Other Authors: Asian Institute of Technology Thailand
Format: Article
Published: 2018
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/33751
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Institution: Mahidol University
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