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Kazushi Ikeda: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. Kazushi Ikeda
    Generalization Error Analysis for Polynomial Kernel Methods - Algebraic Geometrical Approach. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:201-208 [Conf]
  3. Kazushi Ikeda
    An Information Geometrical Analysis of Neural Spike Sequences. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2005, pp:133-138 [Conf]
  4. Hiroyuki Funaya, Kazushi Ikeda
    On Properties of Genetic Operators from a Network Analytical Viewpoint. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:746-753 [Conf]
  5. Kazushi Ikeda, Seiji Miyoshi, Kenji Nakayama
    Block-Size Optimization of Block Orthogonal Projection Algorithm for Linear Dichotomies. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1215-1218 [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, 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]
  8. 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]
  9. Kazushi Ikeda
    An Asymptotic Statistical Theory of Polynomial Kernel Methods. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:8, pp:1705-1719 [Journal]
  10. Kazushi Ikeda
    Information Geometry of Interspike Intervals in Spiking Neurons. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:12, pp:2719-2735 [Journal]
  11. Kazushi Ikeda, Noboru Murata
    Geometrical Properties of Nu Support Vector Machines with Different Norms. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2005, v:17, n:11, pp:2508-2529 [Journal]
  12. Kazushi Ikeda
    A synfire chain in layered coincidence detectors with random synaptic delays. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:1, pp:39-46 [Journal]
  13. Kazushi Ikeda, Tsutomu Aoishi
    An asymptotic statistical analysis of support vector machines with soft margins. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2005, v:18, n:3, pp:251-259 [Journal]
  14. 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]
  15. Kazushi Ikeda
    Geometry and learning curves of kernel methods with polynomial kernels. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2004, v:35, n:7, pp:41-48 [Journal]
  16. Yoshihiko Hirai, Sadafumi Tomida, Kazushi Ikeda, Masaru Sasago, Masayuki Endo, Sigeru Hayama, Noboru Nomura
    Three-dimensional resist process simulator PEACE (photo and electron beam lithography analyzing computer engineering system). [Citation Graph (0, 0)][DBLP]
    IEEE Trans. on CAD of Integrated Circuits and Systems, 1991, v:10, n:6, pp:802-807 [Journal]
  17. Kazushi Ikeda
    Convergence analysis of block orthogonal projection and affine projection algorithms. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2002, v:82, n:3, pp:491-496 [Journal]
  18. Takemasa Yamasaki, Kazushi Ikeda, Yoshihiko Nomura
    An Apporoach to the Learning Curves of an Incremental Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:466-469 [Conf]
  19. Kazushi Ikeda, Takemasa Yamasaki
    Incremental support vector machines and their geometrical analyses. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2528-2533 [Journal]

  20. Unsupervised Text Normalization Approach for Morphological Analysis of Blog Documents. [Citation Graph (, )][DBLP]

  21. Theoretical Analysis of Cross-Validation(CV)-EM Algorithm. [Citation Graph (, )][DBLP]

  22. Stability Oriented Overlay Multicast for Multimedia Streaming in Multiple Source Context. [Citation Graph (, )][DBLP]

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

  24. Information Geometry of Interspike Intervals in Spiking Neurons with Refractories. [Citation Graph (, )][DBLP]

  25. Online Multibody Factorization Based on Bayesian Principal Component Analysis of Gaussian Mixture Models. [Citation Graph (, )][DBLP]

  26. A Support Vector Machine with Forgetting Factor and Its Statistical Properties. [Citation Graph (, )][DBLP]

  27. Estimation of Driving Phase by Modeling Brake Pressure Signals. [Citation Graph (, )][DBLP]

  28. On Geometric Structure of Quasi-Additive Learning Algorithms. [Citation Graph (, )][DBLP]

  29. D-Sense: An Integrated Environment for Algorithm Design and Protocol Implementation in Wireless Sensor Networks. [Citation Graph (, )][DBLP]

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