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A New Measure of Modularity in Hypergraphs: Theoretical Insights and Implications for Effective Clustering.

, , , , and . COMPLEX NETWORKS (1), volume 881 of Studies in Computational Intelligence, page 286-297. Springer, (2019)

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Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems., , , , and . CoRR, (2019)Learning to Multi-Task by Active Sampling., , , and . ICLR (Poster), OpenReview.net, (2018)Extended Discriminative Random Walk: A Hypergraph Approach to Multi-View Multi-Relational Transductive Learning., , and . IJCAI, page 3791-3797. AAAI Press, (2015)Looking Under the Hood of Deep Neural Networks.. HiPC, page 1. IEEE, (2018)Using Legal Ontology for Query Enhancement in Generating a Document Summary., , and . JURIX, volume 165 of Frontiers in Artificial Intelligence and Applications, page 171-172. IOS Press, (2007)Game theoretic network centrality: exact formulas and efficient algorithms., and . AAMAS, page 1459-1460. IFAAMAS, (2010)Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning., , , and . CoRR, (2017)Fractional Moments on Bandit Problems, and . CoRR, (2012)Linear Bandit algorithms using the Bootstrap., and . CoRR, (2016)Hierarchical Control of Markov Decision Processes, , , , and . Proceedings of the Tenth Yale Workshop on Adaptive and Learning Systems, page 186--191. (1998)