Titlebook: Topics in Theoretical Computer Science; Second IFIP WG 1.8 I Mohammad Reza Mousavi,Jiří Sgall Conference proceedings 2017 IFIP Internationa

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stributions of the rewards associated with arms. Based on the classic upper confidence bound policy, we propose two learning policies for the bandit problem. The first policy estimates the expected reward of a price by counting how many times the price has been accepted by data providers. The second

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Exposing Latent Mutual Exclusion by Work Automataional insight in the behavior of an application, which can enhance scheduling. Our operations, therefore, potentially expose implicit dependencies among processes that otherwise may not be evident to exploit.

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Unification of Hypergraph ,-Terms of our framework are easier to establish compared to the ones in nominal unification. We believe this indicates that hypergraphs provide a nice framework for encoding formal systems involving binders and unification modulo .-equivalence.

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Alimujiang Yasen,Kazunori Uedaof the model of computation we are able to apply the theory of skewing schemes to var­ ious kinds of parallel computer architectures. This results in a number o978-1-4612-8964-7978-1-4613-1711-1Series ISSN 0893-3405

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Mohammad Reza Mousavi,Jiří Sgalluding basic concepts and surveying the techniques proposed in the specialized literature, is given.Each chapter is a stand-alone guide to a particular data preprocessing topic, from basic concepts and detailed 978-3-319-37731-5978-3-319-10247-4Series ISSN 1868-4394 Series E-ISSN 1868-4408

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Topics in Theoretical Computer Science978-3-319-68953-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

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