Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy - researchr publication authors

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Amit Gruber, Chen Yanover, Tal El-Hay, Anders Sönnerborg, Vanni Borghi, Francesca Incardona, Yaara Goldschmidt. Factorial HMMs with Collapsed Gibbs Sampling for Optimizing Long-term HIV Therapy. In Amos J. Storkey, Fernando Pérez-Cruz, editors, International Conference on Artificial Intelligence and Statistics, AISTATS 2018, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, Spain. Volume 84 of Proceedings of Machine Learning Research, pages 317-326, PMLR, 2018. [doi]

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