Search Results - Matsuzaki, Kiminori

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  1. 1
    Assessing Brain-Like Characteristics of DNNs With Spatiotemporal Features: A Study Based on the Müller-Lyer Illusion

    Assessing Brain-Like Characteristics of DNNs With Spatiotemporal Features: A Study Based on the Müller-Lyer Illusion by Zhang, Hongtao, Matsuzaki, Kiminori, Yoshida, Shinichi

    Published in IEEE access
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  2. 2
    Fregel: a functional domain-specific language for vertex-centric large-scale graph processing

    Fregel: a functional domain-specific language for vertex-centric large-scale graph processing by IWASAKI, HIDEYA, EMOTO, KENTO, MORIHATA, AKIMASA, MATSUZAKI, KIMINORI, HU, ZHENJIANG

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  3. 3
    Evaluating the Influence of Imperfect Information in Geister Using DREAM Trained Agents

    Evaluating the Influence of Imperfect Information in Geister Using DREAM Trained Agents by Troillet, Lucien, Matsuzaki, Kiminori

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  4. 4
    Functional Models of Hadoop MapReduce with Application to Scan

    Functional Models of Hadoop MapReduce with Application to Scan by Matsuzaki, Kiminori

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  5. 5
    A Practical Tree Contraction Algorithm for Parallel Skeletons on Trees of Unbounded Degree

    A Practical Tree Contraction Algorithm for Parallel Skeletons on Trees of Unbounded Degree by Morihata, Akimasa, Matsuzaki, Kiminori

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  6. 6
    Complete DouDizhu Agents: Bid Learning from Pretrained Cardplay

    Complete DouDizhu Agents: Bid Learning from Pretrained Cardplay by Li, Chuanfa, Troillet, Lucien, Kiminori, Matsuzaki

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  7. 7
    Parallel Tree Accumulations on MapReduce

    Parallel Tree Accumulations on MapReduce by Matsuzaki, Kiminori, Miyazaki, Reina

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  8. 8
    A Generic Implementation of Tree Skeletons

    A Generic Implementation of Tree Skeletons by Sato, Shigeyuki, Matsuzaki, Kiminori

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  9. 9
    An Automatic Fusion Mechanism for Variable-Length List Skeletons in SkeTo

    An Automatic Fusion Mechanism for Variable-Length List Skeletons in SkeTo by Emoto, Kento, Matsuzaki, Kiminori

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  10. 10
    Yet More Optimistic Temporal Difference Learning for Game Mini2048

    Yet More Optimistic Temporal Difference Learning for Game Mini2048 by Matsuzaki, Kiminori, Terauchi, Shunsuke

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  11. 11
    SYSTEMATIC DERIVATION OF TREE CONTRACTION ALGORITHMS

    SYSTEMATIC DERIVATION OF TREE CONTRACTION ALGORITHMS by MATSUZAKI, KIMINORI, HU, ZHENJIANG, KAKEHI, KAZUHIKO, TAKEICHI, MASATO

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  12. 12
    Enhancement of CNN-based 2048 Player with Monte-Carlo Tree Search

    Enhancement of CNN-based 2048 Player with Monte-Carlo Tree Search by Watanabe, Shota, Matsuzaki, Kiminori

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  13. 13
    Empirical Analysis of PUCT Algorithm with Evaluation Functions of Different Quality

    Empirical Analysis of PUCT Algorithm with Evaluation Functions of Different Quality by Matsuzaki, Kiminori

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  14. 14
    Analyzing simplified Geister using DREAM

    Analyzing simplified Geister using DREAM by Troillet, Lucien, Matsuzaki, Kiminori

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  15. 15
    Systematic selection of N-tuple networks with consideration of interinfluence for game 2048

    Systematic selection of N-tuple networks with consideration of interinfluence for game 2048 by Matsuzaki, Kiminori

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  16. 16
    Three Player Otrio will be Strongly Solved

    Three Player Otrio will be Strongly Solved by Kubota, Runa, Troillet, Lucien, Matsuzaki, Kiminori

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  17. 17
    Improving DNN-based 2048 Players with Global Embedding

    Improving DNN-based 2048 Players with Global Embedding by Weikai, Wang, Kiminori, Matsuzaki

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  18. 18
    Interpreting Neural-Network Players for Game 2048

    Interpreting Neural-Network Players for Game 2048 by Matsuzaki, Kiminori, Teramura, Madoka

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  19. 19
    Parallel skeletons for manipulating general trees

    Parallel skeletons for manipulating general trees by Matsuzaki, Kiminori, Hu, Zhenjiang, Takeichi, Masato

    Published in Parallel computing
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  20. 20
    Balanced Trees Inhabiting Functional Parallel Programming

    Balanced Trees Inhabiting Functional Parallel Programming by MORIHATA, Akimasa, MATSUZAKI, Kiminori

    Published in ACM SIGPLAN notices
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