Masa-aki Sato's Recent Publication

• Masa-aki Sato, Shigeyuki Oba:
  Incremental Sparse Kernel Machine,
  J.R. Dorronsoro (Ed.):ICANN 2002
  LNCS 2415, pp. 700-706,(2002)

• Masa-aki Sato, Yutaka Nakamura, Shin Ishii:
  Reinforcement Learning for Biped Locomotion,
  J.R. Dorronsoro (Ed.):ICANN 2002
  LNCS 2415, pp. 777-782,(2002)

• Shigeyuki Oba, Masa-aki Sato, Shin Ishii:
  Missing Value Estimation Using Mixture of PCAs
  J.R. Dorronsoro (Ed.):ICANN 2002
  LNCS 2415, pp. 492-497,(2002)

• J. Yoshimoto, Shin Ishii, Masa-aki Sato:
  Hierarchical Model Selection for NGnet Based on Variational Bayes Inference
  J.R. Dorronsoro (Ed.):ICANN 2002
  LNCS 2415, pp. 661-666,(2002)

• S. Ishii and M. Sato:
  Doubly constrained network for combinatorial optimization.
  Neurocomputing, 43, 239-257 (2002).

• M. Sato:
  On-line Model Selection Based on the Variational Bayes,
  Neural Computation, 13, 1649-1681 (2001)

• S.Ishii and M.Sato:
  Reconstruction of chaotic dynamics based on on-line EM algorithm.
  Neural Networks, 14(9), 1239-1256 (2001).

• J. Yoshimoto, S. Ishii and M. Sato:
  Application of reinforcement learning based on on-line EM algorithm to balancing of acrobot.
  Systems and Computers in Japan, 32(5), 12-20 (2001).

• W. Yoshida, S. Ishii and M. Sato:
  Learning chaotic dynamics under noise with on-line EM algorithm.
  Electronics and Communications in Japan, 84(6), 23-31 (2001).

• S. Oba, M. Sato and S. Ishii:
  On-line learning methods for Gaussian processes.
  Artificial Neural Networks - ICANN 2001,
  Lecture Notes in Computer Science, 2130, Springer-Verlag, 292-299, (2001).

• H. Tamakoshi, S. Ishii, W. Yoshida, and M. Sato:
  Vowel synthesis by on-line EM algorithm with IIR filter.
  IEEE International Joint Conference on Neural Networks, 1, 2821-2825, (2001).

• M. Sato and S. Ishii:
  On-line EM algorithm for the normalized Gaussian network.
  Neural Computation, 12(2), 407-432 (2000).

• Masa-aki Sato:
  Convergence of On-line EM Algorithm.
  ICONIP2000 , VOL 1 , 476-481, (2000)

• Masa-aki Sato:
  On-line Bayesian Learning and Model Selection
  ICONIP2000 , VOL 1, 470-475, (2000)

• Shigeyuki Oba, Shin Ishii, Masa-aki Sato:
  Variational Bayes method for Mixture of Principal Component Analyzers
  ICONIP2000 , VOL 2, 1416-1421, (2000)

• Junichiro Yoshimoto, Shin Ishii and Masa-aki Sato:
  Application of reinforcement learning to balancing of acrobot.
  In IEEE-SMC '99, V, pp. 516-521, 1999.

• Junichiro Yoshimoto, Shin Ishii and Masa-aki Sato:
  On-line EM reinforcement learning.
  In IJCNN 2000, III, pp. 163-168, 2000.

• J. Yoshimoto, S. Ishii and M. Sato:
  On-line EM reinforcement learning.
  In IJCNN 2000, III, 163-168 (2000).

• W. Yoshida, S. Ishii and M. Sato:
  Reconstruction of chaotic dynamics using a noise-robust embedding method.
  In ICASSP 2000, I, 181-184 (2000).

• M. Sato and S. Ishii:
  Reinforcement learning based on on-line EM algorithm.
  Advances in Neural Information Processing Systems 11 (NIPS 11)
  (eds.: M.S.Kearns, S.A.Solla and D.A.Cohn), Cambridge: MIT Press
  1052-1058, (1999).

• S. Ishii, J. Yoshimoto, W. Yoshida and M. Sato:
  On-line EM algorithm and its applications.
  Emerging Knowledge Engineering and Connectionist-Based Information Systems,
  17-20, Dunedin: University of Otago (1999).

• W. Yoshida, S. Ishii and M. Sato:
  Approximating discrete mapping of chaotic dynamical system based on on-line EM algorithm.
  In ICONIP'99, III, 1010-1016, (1999).

• J. Yoshimoto, S. Ishii and M. Sato:
  Application of reinforcement learning to balancing of acrobot.
  In IEEE-SMC 1999, V, 516-521, (1999).

• W. Yoshida, S. Ishii and M. Sato:
  Reconstruction of chaotic dynamics and robustness to noise
  with on-line EM algorithm.
  In IEEE-SMC 1999, I, 414-419, (1999).

• Ishii, S., and Sato, M. :
  Associative memory based on parametrically coupled chaotic elements.
  Physica D, 121, 344-366. (1998).

• Ishii, S., and Sato, M. :
  Constrained neural approaches to quadratic assignment problems.
  Neural Networks, 11, 1073-1082.(1998).

• Ishii, S., and Sato, M. :
  On-line EM algorithm and reconstruction of chaotic dynamics.
  In NNSP 98, VIII, pp.360-369,(1998).

• Ishii, S., and Sato, M. :
  On-line EM algorithm and reinforcement learning.
  In ICANN 98, pp.1127-1132, (1998).

• Sato, M., \& Ishii, S. :
  On-line EM algorithm for mixture of local experts.
  In ICONIP 98, 3, pp.1397-1401, (1998).

• Ishii, S., and Sato, M. :
  Chaotic Potts spin model for combinatorial optimization problems.
  Neural Networks, 10, 941-963.(1997).

• S. Adachi and M. Sato, :
  Simulations of sound production mechanisms in air-jet driven instruments,
  In ASVA97, 667-674 (1997),

• S. Adachi and M. Sato, :
  Simulations of an organ flue pipe using an empirical jet deflection model,
  Int. Symposium on Musical Acoustics,
  Proceedings of the Institute of Acoustics 19, 321-326, (1997)

• Sato, M., and Ishii, S.:
  Bifurcations in mean-field-theory annealing.
  Physical Review E, 53, 5153-5168. (1996).

• S. Adachi and M. Sato, :
  Trumpet sound simulation using a two-dimensional lip vibration model,
  J. Acoust. Soc. Am. 99, 1200-1209 (1996)

• Ishii, S., and Sato, M.:
  Parametrically coupled chaotic elements as associative memory.
  In Proc. of NOLTA 1996, (1996).

• S. Adachi and M. Sato, :
  Time-domain simulation of sound production in brass instruments,
  J. Acoust. Soc. Am. 97, 3850-3861 (1995)

• Ishii, S., and Sato, M.:
  Doubly constrained network model for combinatorial optimization problems.
  In Proc. of NOLTA 1995, 371-374. (1995).

• S. Adachi and M. Sato, :
  Brass sound simulation using a two-dimensional lip vibration model,
  In Proc. of ICA95, III, 385-388, (1995)

• S. Adachi and M. Sato, :
  On the transition of lip-vibration states in the brass instruments,
  In Proc. of ISMA95, 16-22, (1995)

• S. Adachi and M. Sato, :
  Brass sound simulation with a lip vibration model having two degree of freedom,
  J. Acoust. Soc. Am. 96, 3300 (1994),

• Masa-aki Sato and Yoshihiko Murakami :
  Learning Nonlinear Dynamics by Recurrent Neural Networks.
  "Some Problems on the Theory of Dynamical Systems in Applied Sciences"
  World Scientific Singapore , pp. 49. (1991)

• Yoshihiko MURAKAMI and Masa-aki SATO :
  A Recurrent Network Which Learns Chaotic Dynamics.
  ACNN' 91, pp.1-4 (1991)

• M. Sato,:
  A real time learning algorithm for recurrent analog neural networks.
  Biol. Cybern. 62(3), 237. (1990)

• M. Sato,:
  A Iearning algorithm to teach spatiotemporal patterns to reccurent neural networks.
  Biol. Cybern. 62(3), 259. (1990)

• Masa-aki Sato. Kazuki Joe and Tatsuya Hirahara:
  APOLONN Brings us to the real world
  :Learning nonlinear dynamics and fluctuations in nature.
  Proc. of IJCNN 90. Vol. 1. 1-581. (1990)

• Masa-aki Sato:
  Rotational Invariant Formulation for Line Process.
  Proc. of IJCNN 90, Vol. 2, 11-891. (1990)

• Masa-aki Sato, Yoshihiko Murakami and Kazuki Joe:
  Leanig Chaotic Dynamics by Recurrent Neural Networks.
  Proc. of International Conference on Fuggy Logic & Neural Networks,
  IIZUKA , 601. (1990)