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Takashi Omori: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Yu Ohigashi, Takashi Omori, Koji Morikawa, Natsuki Oka
    Acceleration of Game Learning with Prediction-Based Reinforcement Learning - Toward the Emergence of Planning Behavior. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:786-796 [Conf]
  2. Kentaro Mizutani, Takashi Omori
    A Model of Logic Like Inference by Memory Model PATON. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:775-780 [Conf]
  3. Takayuki Oohira, Koichiro Yamauchi, Takashi Omori
    Meta-learning for Fast Incremental Learning. [Citation Graph (0, 0)][DBLP]
    ICANN, 2003, pp:157-164 [Conf]
  4. H. Koizumi, T. Ochiai, T. Okahashi, Y. Yamashita, A. Maki, T. Yamamoto, Y. Inagami, H. Yoshizawa, M. Iwata, Takashi Omori, M. Yasunaga
    Dynamic Optical Topography and the Real-Time PDP Chip: An Analytical and Synthetical Approach to Higher-Order Brain Functions. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:337-340 [Conf]
  5. Kentaro Mizutani, Takashi Omori
    Path Planning of Moving Robot by Discrete State Transition of Associative Memory. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:118-122 [Conf]
  6. Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
    An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:502-507 [Conf]
  7. Akitoshi Ogawa, Takashi Omori
    Knowledge Reusing Neural Learning System for Immediate Adaptation in Navigation Tasks. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:409-415 [Conf]
  8. Hiroyuki Okada, Hiroshi Yamakawa, Takashi Omori
    Neural Network Model for the Perseveration Behavior of Frontal Lobe Injured Patients. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:1465-1469 [Conf]
  9. Kazuyuki Samejima, Takashi Omori
    Adaptive State Space Formation in Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:251-255 [Conf]
  10. Yoshiyuki Mitsumori, Takashi Omori
    Segmentation of Occluded Using a Hybrid of Selective Attention and Symbolic Knowledge. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 1999, pp:826-839 [Conf]
  11. Hiroyuki Okada, Hiroshi Yamakawa, Takashi Omori
    Two Dimensional Evaluation Reinforcement Learning. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:370-377 [Conf]
  12. Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
    ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. [Citation Graph (0, 0)][DBLP]
    Multiple Classifier Systems, 2005, pp:176-185 [Conf]
  13. Akira Toyomura, Takashi Omori
    Stochastic control system of basal ganglia and relation with stuttering. [Citation Graph (0, 0)][DBLP]
    Neural Networks and Computational Intelligence, 2004, pp:31-36 [Conf]
  14. Atsushi Hiroike, Takashi Omori
    Noise-induced order in the randomly asymmetric Hopfield model. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1995, v:8, n:2, pp:229-236 [Journal]
  15. Takashi Omori, Akiko Mochizuki, Kentaro Mizutani, M. Nishizaki
    Emergence of symbolic behavior from brain like memory with dynamic attention. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:7-8, pp:1157-1172 [Journal]
  16. Kazuyuki Samejima, Takashi Omori
    Adaptive internal state space construction method for reinforcement learning of a real-world agent. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1999, v:12, n:7-8, pp:1143-1155 [Journal]
  17. Yu Ohigashi, Takashi Omori
    Modeling of autonomous problem solving process by dynamic construction of task models in multiple tasks environment. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:8, pp:1169-1180 [Journal]
  18. Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
    An online learning algorithm with dimension selection using minimal hyper basis function networks. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2006, v:37, n:11, pp:11-21 [Journal]
  19. Akitoshi Ogawa, Takashi Omori
    Acquisition of learning processing in a navigation task using a functional parts combination model. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2006, v:37, n:4, pp:64-76 [Journal]
  20. Yuki Togashi, Takashi Omori, Koichiro Yamauchi
    Model of driver eye motion based on driving plan and prediction of changes in the environment. [Citation Graph (0, 0)][DBLP]
    FOCI, 2007, pp:289-295 [Conf]

  21. Computational Modeling of Human-Robot Interaction Based on Active Intention Estimation. [Citation Graph (, )][DBLP]


  22. Computational Modeling of Risk-Related Eye Movement of Car Drivers. [Citation Graph (, )][DBLP]


  23. Learning novel objects using out-of-vocabulary word segmentation and object extraction for home assistant robots. [Citation Graph (, )][DBLP]


  24. Quick online feature selection method for regression -A feature selection method inspired by human behavior-. [Citation Graph (, )][DBLP]


  25. Possibility of guiding arm movement in circle drawing. [Citation Graph (, )][DBLP]


  26. Computational Modeling of Risk-Dependent Eye Movements of Car Drivers. [Citation Graph (, )][DBLP]


  27. Computational Modeling of Symbolic Looking Processing in Brain. [Citation Graph (, )][DBLP]


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