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Nobuhiro Inuzuka: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh
    Efficient Induction of Executable Logic Programs from Examples. [Citation Graph (0, 0)][DBLP]
    ASIAN, 1997, pp:212-224 [Conf]
  2. Satoru Yoshida, Nobuhiro Inuzuka, Tin Tin Naing, Hirohisa Seki, Hidenori Itoh
    A Game-Theoretic Solution of Conflicts among Competitive Agents. [Citation Graph (0, 0)][DBLP]
    Agents and Multi-Agent Systems Formalisms, Methodologies, and Applications, 1997, pp:193-204 [Conf]
  3. Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh
    Parallel Induction Algorithms for Large Samples. [Citation Graph (0, 0)][DBLP]
    Discovery Science, 1998, pp:397-398 [Conf]
  4. Atsuko Mutoh, Satoru Oono, Kousuke Moriwaki, Tsuyoshi Nakamura, Nobuhiro Inuzuka, Hidenori Itoh
    An Evolutionary Method Using Crossover in a Food Chain Simulation. [Citation Graph (0, 0)][DBLP]
    ECAL, 1999, pp:89-93 [Conf]
  5. Nobuhiro Inuzuka, Taichi Onda, Hidenori Itoh
    Learning Robot Control by Relational Concept Induction with Iteratively Controlled Examples. [Citation Graph (0, 0)][DBLP]
    EWLR, 1999, pp:71-83 [Conf]
  6. Ahmed K. Ezzat, Nobuhiro Inuzuka, Hidenori Itoh
    A Generation Method to Produce GA with GP Capabilities for Signal Modeling. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 1999, pp:118-126 [Conf]
  7. Mitsue Furusawa, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh
    Induction of Logic Programs with More Than One Recursive Clause by Analyzing Saturations. [Citation Graph (0, 0)][DBLP]
    ILP, 1997, pp:165-172 [Conf]
  8. Nobuhiro Inuzuka, Masakage Kamo, Naohiro Ishii, Hirohisa Seki, Hidenori Itoh
    Tow-down Induction of Logic Programs from Incomplete Samples. [Citation Graph (0, 0)][DBLP]
    Inductive Logic Programming Workshop, 1996, pp:265-282 [Conf]
  9. Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki
    A Proposal for Inductive Learning Agent Using First-Order Logic. [Citation Graph (0, 0)][DBLP]
    ILP Work-in-progress reports, 2000, pp:- [Conf]
  10. Tomofumi Nakano, Nobuhiro Inuzuka
    Solving Selection Problems Using Preference Relation Based on Bayesian Learning. [Citation Graph (0, 0)][DBLP]
    ILP, 2000, pp:147-164 [Conf]
  11. Tomofumi Nakano, Nobuhiro Inuzuka, Hirohisa Seki, Hidenori Itoh
    Inducing Shogi Heuristics Using Inductive Logic Programming. [Citation Graph (0, 0)][DBLP]
    ILP, 1998, pp:155-164 [Conf]
  12. Kenta Fukuoka, Tomofumi Nakano, Nobuhiro Inuzuka
    Organising Documents Based on Standard-Example Split Test. [Citation Graph (0, 0)][DBLP]
    KES (1), 2005, pp:787-793 [Conf]
  13. Nobuhiro Inuzuka, Jun-ichi Motoyama, Tomofumi Nakano
    Relational Association Mining Based on Structural Analysis of Saturation Clauses. [Citation Graph (0, 0)][DBLP]
    KES (2), 2006, pp:1162-1169 [Conf]
  14. Takahisa Ishiguro, Tohgoroh Matsui, Nobuhiro Inuzuka, Koichi Wada
    Reinforcement Learning Methods to Handle Actions with Differing Costs in MDPs. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:553-560 [Conf]
  15. Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki
    On-line Profit Sharing Works Efficiently. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:317-324 [Conf]
  16. Tomoya Ogawa, Nobuhiro Inuzuka
    Similarity of Documents Using Reconfiguration of Thesaurus. [Citation Graph (0, 0)][DBLP]
    KES, 2004, pp:95-102 [Conf]
  17. Tomofumi Nakano, Yukie Koyama, Nobuhiro Inuzuka, Chikako Matsuura
    EM Algorithm for Cleaning of Answers Generated by an E-learning System. [Citation Graph (0, 0)][DBLP]
    KES, 2003, pp:547-552 [Conf]
  18. Daisuke Shibata, Nobuhiro Inuzuka, Shohei Kato, Tohgoroh Matsui, Hidenori Itoh
    An Induction Algorithm Based on Fuzzy Logic Programming. [Citation Graph (0, 0)][DBLP]
    PAKDD, 1999, pp:268-273 [Conf]
  19. Tohgoroh Matsui, Nobuhiro Inuzuka, Hirohisa Seki
    Adapting Behavior by Inductive Prediction in Soccer Agents. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:807- [Conf]
  20. Takayuki Fujinaga, Kousuke Moriwaki, Nobuhiro Inuzuka, Hidenori Itoh
    Evolving Cooperative Actions Among Heterogeneous Agents by an Evolutionary Programming Method. [Citation Graph (0, 0)][DBLP]
    SEAL, 1998, pp:231-239 [Conf]
  21. Nobuhiro Inuzuka
    Learning without Model-theoretic Improvements. [Citation Graph (0, 0)][DBLP]
    WLP, 1994, pp:161-164 [Conf]
  22. Masao Kasuya, Nobuhiro Ito, Nobuhiro Inuzuka, Koichi Wada
    A pattern formation algorithm for a set of autonomous distributed robots with agreement on orientation along one axis. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2006, v:37, n:10, pp:89-100 [Journal]
  23. Jun-ichi Motoyama, Shinpei Urazawa, Tomofumi Nakano, Nobuhiro Inuzuka
    A Mining Algorithm Using Property Items Extracted from Sampled Examples. [Citation Graph (0, 0)][DBLP]
    ILP, 2006, pp:335-350 [Conf]
  24. Nobuhiro Inuzuka, Jun-ichi Hayakawa
    A Unified Approach to Web Usage Mining Based on Frequent Sequence Mining. [Citation Graph (0, 0)][DBLP]
    KES (2), 2007, pp:987-994 [Conf]
  25. Yoshiaki Katayama, Yuichi Tomida, Hiroyuki Imazu, Nobuhiro Inuzuka, Koichi Wada
    Dynamic Compass Models and Gathering Algorithms for Autonomous Mobile Robots. [Citation Graph (0, 0)][DBLP]
    SIROCCO, 2007, pp:274-288 [Conf]
  26. Taisuke Izumi, Yoshiaki Katayama, Nobuhiro Inuzuka, Koichi Wada
    Gathering Autonomous Mobile Robots with Dynamic Compasses: An Optimal Result. [Citation Graph (0, 0)][DBLP]
    DISC, 2007, pp:298-312 [Conf]

  27. Control of Hypothesis Space Using Meta-knowledge in Inductive Learning. [Citation Graph (, )][DBLP]

  28. Implementing Multi-relational Mining with Relational Database Systems. [Citation Graph (, )][DBLP]

  29. Relational Pattern Mining Based on Equivalent Classes of Properties Extracted from Samples. [Citation Graph (, )][DBLP]

  30. Gathering Problem of Two Asynchronous Mobile Robots with Semi-dynamic Compasses. [Citation Graph (, )][DBLP]

  31. Convergence of Mobile Robots with Uniformly-Inaccurate Sensors. [Citation Graph (, )][DBLP]

  32. Implementing Pattern Mining Using Extended Attribute Expression on Relational DB. [Citation Graph (, )][DBLP]

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