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Regression with n→1 by Expert Knowledge Elicitation.

, , and . ICMLA, page 734-739. IEEE Computer Society, (2016)

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Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation., , , , , , , , and . CoRR, (2017)Knowledge elicitation via sequential probabilistic inference for high-dimensional prediction., , , and . Mach. Learn., 106 (9-10): 1599-1620 (2017)Knowledge Elicitation via Sequential Probabilistic Inference for High-Dimensional Prediction., , , and . CoRR, (2016)Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression., , , and . IAL@PKDD/ECML, volume 1924 of CEUR Workshop Proceedings, page 64-66. CEUR-WS.org, (2017)Multi-Agent Best Arm Identification with Private Communications., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 29082-29102. PMLR, (2023)Sequential Resource Allocation in Linear Stochastic Bandits . (Allocation séquentielle de ressources dans le modèle de bandit linéaire).. Lille University of Science and Technology, France, (2015)Secure protocols for cumulative reward maximization in stochastic multi-armed bandits., , , and . J. Comput. Secur., 31 (1): 1-27 (2023)FeReD: Federated Reinforcement Learning in the DBMS., , , and . CIKM, page 4989-4993. ACM, (2022)Secure Outsourcing of Multi-Armed Bandits., , , and . TrustCom, page 202-209. IEEE, (2020)Regression with n→1 by Expert Knowledge Elicitation., , and . ICMLA, page 734-739. IEEE Computer Society, (2016)