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Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources.

, , , и . IEEE J. Sel. Top. Signal Process., 12 (4): 688-702 (2018)

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Ralph Cembrowicz

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Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis., , и . AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI, том WS-16-08 из AAAI Technical Report, AAAI Press, (2016)978-1-57735-759-9.Actionable intelligence and online learning for semantic computing., и . Encycl. Semantic Comput. Robotic Intell., 1 (1): 1630011:1-1630011:8 (2017)Distributed Online Learning via Cooperative Contextual Bandits., и . IEEE Trans. Signal Process., 63 (14): 3700-3714 (2015)Analysis of Thompson Sampling for Combinatorial Multi-armed Bandit with Probabilistically Triggered Arms., и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 1322-1330. PMLR, (2019)Exploiting Relevance for Online Decision-Making in High-Dimensions., , и . CoRR, (2019)Lexicographic Multiarmed Bandit., и . CoRR, (2019)Online learning in opportunistic spectrum access: A restless bandit approach., и . INFOCOM, стр. 2462-2470. IEEE, (2011)A data-driven approach for matching clinical expertise to individual cases., , , и . ICASSP, стр. 2105-2109. IEEE, (2015)Approximately optimal adaptive learning in opportunistic spectrum access., и . INFOCOM, стр. 1548-1556. IEEE, (2012)Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing., , , и . IEEE/ACM Trans. Netw., 26 (3): 1334-1347 (2018)