Joe Suzuki: Publication List (As of Dect.2000)

Journals

  1. Joe Suzuki, Toshiyasu Matsushima, Hiroshige Inazumi, and Shigeich Hirasawa: ``Stopping Rule setting threshold for every pattern and every stage'' (in Japanese), IEICE Trans. on Foundamentals, Vol. J71-A, No. 6, pages 1299-1308, March 1988..
  2. Joe Suzuki, Toshiyasu Matsushima, Hiroshige Inazumi, Shigeich Hirasawa, ``Efficient Use Interface based maximizing mutual information'' (in Japanese), IEICE Trans. on Foundamentals. Vol. J72-A, No. 3, pages 517-524, March 1989.
  3. Toshiyasu Matsushima, Joe Suzuki, Hiroshige Inazumi, Shigeichi Hirasawa, ``Inductive Inference Scheme at a Finite Stage of Process from a Viewpoint of Source Coding'', IEICE Trans, Vol. E73, No. 5, pages 644-652, May 1990.
  4. Joe Suzuki, ``Learning Stochastic Rule based on the Minimum Description Length and State Decomposition'' (in Japanese), IEICE Trans. on Foundamentals. Vol. J75-A, No. 8, pages 1412-1421, August 1992.
  5. Joe Suzuki, Yasutaka Ohtake, and Shigeichi Hirasawa, ``Learning Stochastic Rule based on the Minimum Description Length and State Decomposition'' (in Japanese), Journal of Society of Information Procesing, Vol. 33, No. 11, pages 1281-1289, Nov. 1992.
  6. Joe Suzuki, ``Evaluations for Estimation of Information Source Based on State Decomposition'', IEICE Trans, Vol. 76-A, No. 7, pages 1240-1251, July, 1993.
  7. Joe Suzuki, ``A Universal Coding Scheme Based on Minimizing Minimax Redundancy for Sources with Unknown Model, IEICE Trans, Vol. 76-A, No. 7, pages 1234-1239, July, 1993.
  8. Joe Suzuki, ``A Markov Chain Analysis on Simple Genetic Algorithms'', IEEE Trans. on Systems, Man, and Cybernetics, pages 655-659, April, 1995.
  9. Joe Suzuki, ``Some Notes on Universal Noiseless Coding'', IEICE Trans. on Fundamentals of Electronics, Communications and Computer Science, Vol. E78-A, NO. 12 Dec. 1995.
  10. Joe Suzuki, ``A Further Result on the Markov Chain Model of GAs and Their Application to SA-like Strategy'', IEEE Trans. on Systems, Man, and Cybernetics, pages 95-102, Feb. 1998．
  11. Joe Suzuki, ``A Relationship between Context Tree Weighting and General Model Weighting Techniques for Tree Sources'', IEICE Trans. on Fundamentals, Vol. E81-A, No. 11, pages 2412-2417, Nov. 1998．
  12. Joe Suzuki, ``Learning Bayesian Belief Networks Based on the MDL Principle: An Efficient Algorithm Using the Branch and Bound Technique'', IEICE Trans. on Information and Systems. pages 356-367, Feb. 1999．
  13. R. Harasawa, J. Shikata, J. Suzuki, H. Imai, "Comparing the MOV and FR Reductions in Elliptic Curve Cryptography" (in Japanese), IEICE Trans. on Foundamentals A, Vol. 82-A, No. 8 (to appear) August 1999．
  14. Joe Suzuki, "Learning Bayesian Belief Networks based on the Minimum Descripion length Principle: Basic Properties", IEICE Trans. on Foundamentals, Vol. E82-A (to appear)
  15. J. Shikata, Y. Zheng, J. Suzuki, H. Imai, ``Realizing the Menezes-Okamoto-Vanstone (MOV) Reduction Efficiently for Ordinary Elliptic Curves", pp. 756-763, April 2000
  16. R. Harasawa and J. Suzuki, ``Jacobian Group Arithmetic for Cryptography", IEICE Trans. on Foundamentals, page 130-139, Jan. 2001.
  17. Kouki Hojo, Boris Ryabko, and Joe Suzuki. "Performance of Data Compression in terms of Hausdorff Dimension", IEICE Trans. on Foundamentals. (to appear).
  18. Joe Suzuki, "Universal Coding and Universal Prediction" (in Japanese), IEICE Trans. on Computer Systems, May 2002.
  19. Joe Suzuki and Boris Ryabko ``Combinatorial Source Coding with Costs'' IEEE Trans. on Information Theory, May 2004 (accepted).

Under Review

International Conferences

  1. Joe Suzuki, Toshiyasu Matsushima, Hiroshige Inadumi, Shigeich Hirasawa, ``Feature Ordering and Stopping Rule Based on Maximizing Mutual Information'', IEEE ISIT-88 (International Symposium on Information Theory), Kobe, Japan, page 12, June 1988年
  2. Toshiyasu Matsushima, Joe Suzuki, Hiroshige Inazumi, Shigeichi Hirasawa, ``On Uncertain Logic Based Upon Information Theory'', IEEE ISIT-88, Kobe, Japan, page 133, June 1988.
  3. Toshiyasu Matsushima, Joe Suzuki, Hiroshige Inadumi, Shigeichi Hirasawa, ``On the Optimal Inductive Inference Scheme from the Viewpoint of Source Coding'', IEEE ISIT-90, San Diego, CA, Jan. 1990.
  4. Joe Suzuki, ``Generalization of the Learning Method for Classifying Rules with Consistency Irrespective of the Classified Patterns and the Representation Form'', ISITA-90 (International Symposium on Information Theory and its Applications), Waikiki, Hawaii, pages 495-498, Nov. 1990.
  5. Joe Suzuki, ``Evaluations for Estimation of Information Source Based on State Decomposition'', CEMIT (International Conference on Economics / Managemant and Information Technology)\underline '92, Tokyo, Japan, August 1992.
  6. Joe Suzuki, ``A Universal Coding Scheme Based on Minimizing Minimax Redundancy for Sources with Unknown Model'', ISITA'92, Singapore, Nov. 1992.
  7. Joe Suzuki, ``Minimizing Minimax Redundancy for Sources with Unknown Model'', IEEE ISIT'93, San Antonio, Texas, Jan 1993.
  8. Joe Suzuki, ``A Markov Chain Analysis on Simple Genetic Algorithms'', ICGA(International Conference on Genetic Algorithms) '93, Arabama-Chanpaign, Illinois, August 1993.
  9. Joe Suzuki, ``A Construction of Bayesian Networks from Databases on an MDL Principle'', Proceedings of \underline{the Ninth Conference on Uncertainty in Artificial Intelligence}, Washington D. C., pages 266-273, July 1993.
  10. Joe Suzuki, ``On a Generalized Context Tree Weighting Scheme'', the Fourth Benelux-Japan Workshop of Information Theory, Eindhoven, Neitherland, page 11, June 1994.
  11. Joe Suzuki, ``Tighter Bounds on Universal Noiseless Coding for Finite Sequences'', Proceedings of the IEEE ISIT'94, Tronheim, Norway, page 388, June 1994.
  12. Joe Suzuki, ``A PAC Learning Theoretical Analysis on Software Testing'', Proceedings of the IEEE International Workshop on Information Theory, Moscow, Russia, pages 98-101. July 1994.
  13. Joe Suzuki, ``Stochastic On-Line Prediction and MDL Principle'', Workshop on Applications of Descriptional Complexity to Inductive, Statistical, and Visual Inference, New Brunswick, NJ, July 1994.
  14. Joe Suzuki, ``A CTW Scheme for Some FSM Models'', IEEE ISIT-95, Whistler, Canada. Sept. 1995.
  15. Joe Suzuki, ``An Extension 'An Extension on Learning Bayesian Belief Networks Based on MDL Principle', IEEE ISIT-95, Whistler, Canada. Sept. 1995.
  16. Joe Suzuki, ``A CTW Scheme for Non-tree Sources'', IEEE DCC (Data Compression Conference)-96, Snowbird, Utah, April 1996.
  17. Joe Suzuki, ``Learning Bayesian Belief Networks Based on the Minimum Description Length Principle: an Efficient Algorithm using B &B Technique'', ICML (International Conference on Machine Learning)-96, Bari, Italy, July 1996.
  18. Joe Suzuki,``Further Results on the Markov Chain Model of GAs and Their Application to SA-like Strategy'', FOGA (Foundation of Genetic Algorithms)-96, pages 53-72, San Diego, CA, August 1996.
  19. Joe Suzuki,``On the Error Probability of Model Selection for Classification'', AIS (International Workshop on Artificial Intelligence and Statistics)-97, pages 513-520, Fort Lauderdale, FL, Jan. 1997.
  20. Joe Suzuki, "Universal Codingand Universal Predicion'', IEEE ISIT-97, Ulm, Germany, June 1997.
  21. Joe Suzuki, "On the Error Probability of Model Selection for Classification'', IEEE ISIT-97, Ulm, Germany, June 1997.
  22. Joe Suzuki. "Universal Predicion and Universal Coding", IMPRIM-98, Novosibirsk, Russia, June 1998．
  23. Kouki Hojo, Boris Ryabko, and Joe Suzuki, "It is not enough to assume stationary ergodic sources for analyzing universal coding", ISITA-98, pages 113-116, Mexico City, Mexico, Oct. 1998．
  24. Boris Ryabko, Joe Suzuki, Flemming Topsoe, "Hausdorff Dimension as a New Dimension in Source Coding and Predicion", IEEE Information Theory workshop, Johannesburg, South Africa, June 1999.
  25. Joseph H. Silverman and Joe Suzuki, "Elliptic Curve Discrete Logarithms and the Index Calculus", Lecture Notes in Computer Science No. 1514, Advances in Cryptology-Asiacrypt'98, pages 110-125, Oct. 1998．
  26. R. Harasawa, J. Shikata, J. Suzuki, H. Imai, "Comparing the MOV and FR Reductions in Elliptic Curve Cryptography", Lecture Note on Computer Science 1592, Advances in Cryptology-Eurocrypt'99, pages 189-204, Springer-Verlag, May 1999.
  27. J. Shikata, Y. Zheng, J. Suzuki, H. Imai, ``Optimizing the Menezes-Okamoto-Vanstone Algorithm for Non-Supersingular Elliptic Curves", Lecture Note on Computer Science, Asiacrypt '99, (to appear) Nov. 1999 .
  28. R. Harasawa and J. Suzuki, ``Fast Jacobian Group Arithmetic on Cab Curves", Lecture Note on Computer Science, the 4th Algorithmic Number Theory Sympojium, pages 359-376, July, 2000.
  29. J. Suzuki and B. Ryabko, ``Combinatorial Source Coding with Costs", ISITA-2000, pages 77-81, Honolulu, Hawaii, Nov. 2000.

Bulletin

Commentary etc.


Sunday, January 07, 2001