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Structured Learning and Decision-Making for Medical Informatics.

. University of California, Los Angeles, USA, (2018)base-search.net (ftcdlib:qt5rd173sf).

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Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features., , , и . CoRR, (2016)Learning Optimal Policies from Observational Data., , и . CoRR, (2018)Structured Learning and Decision-Making for Medical Informatics.. University of California, Los Angeles, USA, (2018)base-search.net (ftcdlib:qt5rd173sf).Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling., , , , , и . IEEE BigData, стр. 1308-1317. IEEE, (2018)Bandit framework for systematic learning in wireless video-based face recognition., , , и . ICASSP, стр. 704-708. IEEE, (2014)Global Bandits., , и . IEEE Trans. Neural Networks Learn. Syst., 29 (12): 5798-5811 (2018)Constructing effective personalized policies using counterfactual inference from biased data sets with many features., , , и . Mach. Learn., 108 (6): 945-970 (2019)Global Multi-armed Bandits with Hölder Continuity., , и . AISTATS, том 38 из JMLR Workshop and Conference Proceedings, JMLR.org, (2015)Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials., , и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1891-1900. PMLR, (2019)Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks., , и . AAAI, стр. 2071-2078. AAAI Press, (2018)