| A Markov chain analysis on simple genetic algorithms J Suzuki IEEE Transactions on Systems, Man, and Cybernetics 25 (4), 655-659, 1995 | 363 | 1995 |
| A construction of Bayesian networks from databases based on an MDL principle J Suzuki Uncertainty in Artificial Intelligence, 266-273, 1993 | 280 | 1993 |
| Learning Bayesian belief networks based on the MDL principle: An efficient algorithm using the branch and bound technique J Suzuki IEICE TRANSACTIONS on Information and Systems 82 (2), 356-367, 1999 | 180 | 1999 |
| Elliptic curve discrete logarithms and the index calculus JH Silverman, J Suzuki International Conference on the Theory and Application of Cryptology and …, 1998 | 163 | 1998 |
| Learning Bayesian belief networks based on the minimum description length principle: An efficient algorithm using the B&B technique S Joe Proceedings of the International Conference on Machine Learning, 1996, 1996 | 111 | 1996 |
| A further result on the Markov chain model of genetic algorithms and its application to a simulated annealing-like strategy J Suzuki IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998 | 110 | 1998 |
| A Markov chain analysis on a genetic algorithm J Suzuki Proceedings of the 5th International Conference on Genetic Algorithms, 146-154, 1993 | 109 | 1993 |
| Learning Bayesian belief networks based on the minimum description length principle: basic properties J Suzuki IEICE transactions on fundamentals of electronics, communications and …, 1999 | 91 | 1999 |
| A theoretical analysis of the BDeu scores in Bayesian network structure learning J Suzuki Behaviormetrika 44, 97-116, 2017 | 54 | 2017 |
| Fast Jacobian Group Arithmetic on C ab Curves R Harasawa, J Suzuki Algorithmic Number Theory: 4th International Symposium, ANTS-IV Leiden, The …, 2000 | 29 | 2000 |
| Comparing the MOV and FR reductions in elliptic curve cryptography R Harasawa, J Shikata, J Suzuki, H Imai Advances in Cryptology—EUROCRYPT’99: International Conference on the Theory …, 1999 | 27 | 1999 |
| An efficient Bayesian network structure learning strategy J Suzuki New Generation Computing 35, 105-124, 2017 | 23 | 2017 |
| Branch and Bound for Regular Bayesian Network Structure Learing. J Suzuki, J Kawahara UAI, 2017 | 22 | 2017 |
| On strong consistency of model selection in classification J Suzuki IEEE transactions on information theory 52 (11), 4767-4774, 2006 | 21 | 2006 |
| The bayesian chow-liu algorithm J Suzuki The sixth european workshop on probabilistic graphical models, 315-322, 2012 | 19 | 2012 |
| An estimator of mutual information and its application to independence testing J Suzuki Entropy 18 (4), 109, 2016 | 17 | 2016 |
| Universal prediction and universal coding J Suzuki Systems and Computers in Japan 34 (6), 1-11, 2003 | 13 | 2003 |
| A novel Chow–Liu algorithm and its application to gene differential analysis J Suzuki International Journal of Approximate Reasoning 80, 1-18, 2017 | 11 | 2017 |
| Discovering causal structures in binary exclusive-or skew acyclic models T Inazumi, T Washio, S Shimizu, J Suzuki, A Yamamoto, Y Kawahara arXiv preprint arXiv:1202.3736, 2012 | 11 | 2012 |
| Some notes on universal noiseless coding J Suzuki IEICE transactions on fundamentals of electronics, communications and …, 1995 | 11 | 1995 |
