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Kazunori Iwata: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kazunori Iwata, Akira Hayashi
    Theory of a Probabilistic-Dependence Measure of Dissimilarity Among Multiple Clusters. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2006, pp:311-320 [Conf]
  2. Kazunori Iwata, Hideaki Sakai, Kazushi Ikeda
    Stochastic Processes for Return Maximization in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:209-214 [Conf]
  3. Kazunori Iwata, Shingo Itabashi, Naohiro Ishii
    A Protocol for Multi-Threaded Processes with Choice in pi-Calculus. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2001, pp:138-147 [Conf]
  4. Kazunori Iwata, Yoshiyuki Anan, Toyoshiro Nakashima, Naohiro Ishii
    Effort Prediction Model Using Similarity for Embedded Software Development. [Citation Graph (0, 0)][DBLP]
    ICCSA (2), 2006, pp:40-48 [Conf]
  5. Kazunori Iwata, Naohiro Ishii
    Lempel-Ziv Coding in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2002, pp:531-537 [Conf]
  6. Kazunori Iwata, Kazushi Ikeda
    Temporal Difference Coding in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2003, pp:218-227 [Conf]
  7. Kazunori Iwata, Nobuhiro Ito, Koichiro Yamauchi, Naohiro Ishii
    Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2000, pp:326-331 [Conf]
  8. Naohiro Ishii, Hiroaki Ogi, Tsubasa Mochizuki, Kazunori Iwata
    Parallelism Improvements of Software Pipelining by Combining Spilling with Rematerialization. [Citation Graph (0, 0)][DBLP]
    KES (1), 2005, pp:820-826 [Conf]
  9. Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
    Asymptotic equipartition property on empirical sequence in reinforcement learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2004, pp:90-95 [Conf]
  10. Kazunori Iwata, Nobuhiro Ito, Naohiro Ishii
    Formalization for the Agent Method by Using pi-Calculus. [Citation Graph (0, 0)][DBLP]
    PRICAI, 2000, pp:819- [Conf]
  11. Toyoshiro Nakashima, Kazunori Iwata, Yoshiyuki Anan, Naohiro Ishii
    Studies on Project Management Models for Embedded Software Development Projects. [Citation Graph (0, 0)][DBLP]
    SERA, 2006, pp:363-370 [Conf]
  12. Kazunori Iwata, Mayumi Miyazaki, Nobuhiro Ito, Naohiro Ishii
    Estimation of Cooperative Agents Behavior in a Fire Disaster. [Citation Graph (0, 0)][DBLP]
    SNPD, 2003, pp:472-478 [Conf]
  13. Takahiro Yamada, Kyohei Yamashita, Naohiro Ishii, Kazunori Iwata
    Text Classification by Combining Different Distance Functions withWeights. [Citation Graph (0, 0)][DBLP]
    SNPD, 2006, pp:85-90 [Conf]
  14. Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
    On the Effects of Domain Size and Complexity in Empirical Distribution of Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IEICE Transactions, 2005, v:88, n:1, pp:135-142 [Journal]
  15. Kazunori Iwata, Nobuhiro Ito, Xiaoyong Du, Naohiro Ishii
    Applying p-Calculus to Dynamically-Changing Plan for Agent Model. [Citation Graph (0, 0)][DBLP]
    International Journal on Artificial Intelligence Tools, 2000, v:9, n:3, pp:377-395 [Journal]
  16. Kazunori Iwata, Kazushi Ikeda, Hideaki Sakai
    The asymptotic equipartition property in reinforcement learning and its relation to return maximization. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:1, pp:62-75 [Journal]
  17. Kazunori Iwata, Akira Hayashi
    Identifying the Underlying Hierarchical Structure of Clusters in Cluster Analysis. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2007, pp:311-320 [Conf]
  18. Kazunori Iwata, Nobuhiro Ito, Itsuki Noda, Naohiro Ishii
    Design and implementation of a simulator for evaluating dial-a-ride systems. [Citation Graph (0, 0)][DBLP]
    IASTED Conf. on Software Engineering and Applications, 2004, pp:442-448 [Conf]

  19. View Independent Gait Identification Using a Particle Filter. [Citation Graph (, )][DBLP]

  20. An Information-Theoretic Class of Stochastic Decision Processes. [Citation Graph (, )][DBLP]

  21. Information Geometry and Information Theory in Machine Learning. [Citation Graph (, )][DBLP]

  22. Sampling Curve Images to Find Similarities among Parts of Images. [Citation Graph (, )][DBLP]

  23. Error Estimation Models Integrating Previous Models and Using Artificial Neural Networks for Embedded Software Development Projects. [Citation Graph (, )][DBLP]

  24. Analyzing the Relationship between Complexity of Road Networks and Mobile Agents' Simulation. [Citation Graph (, )][DBLP]

  25. Errors Estimation Models for Embedded Software Development Projects. [Citation Graph (, )][DBLP]

  26. Error Estimation Model for Managing Embedded Software Development. [Citation Graph (, )][DBLP]

  27. Using an Artificial Neural Network for Predicting Embedded Software Development Effort. [Citation Graph (, )][DBLP]

  28. Complexity of Road Networks as Agents' Environments. [Citation Graph (, )][DBLP]

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