A Markov chain analysis on simple genetic algorithms J Suzuki IEEE Transactions on Systems, Man, and Cybernetics 25 (4), 655-659, 1995 | 321 | 1995 |

A construction of Bayesian networks from databases based on an MDL principle J Suzuki Uncertainty in Artificial Intelligence, 266-273, 1993 | 235 | 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 | 169 | 1999 |

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 | 169 | 1999 |

Elliptic curve discrete logarithms and the index calculus JH Silverman, J Suzuki International Conference on the Theory and Application of Cryptology and …, 1998 | 135 | 1998 |

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 | 97 | 1998 |

A Markov chain analysis on a genetic algorithm J Suzuki Proceedings of the 5th International Conference on Genetic Algorithms, 146-154, 1993 | 96 | 1993 |

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 | 90 | 1998 |

Learning Bayesian belief networks based on the minimum description length principle: An efficient algorithm using the B & B technique J Suzuki ICML, 1996 | 90 | 1996 |

Learning Bayesian belief networks based on the minimum description length principle: basic properties J Suzuki IEICE transactions on fundamentals of electronics, communications and …, 1999 | 73 | 1999 |

Learning Bayesian belief networks based on the minimum description length principle: basic properties J Suzuki IEICE transactions on fundamentals of electronics, communications and …, 1999 | 73 | 1999 |

A theoretical analysis of the BDeu scores in Bayesian network structure learning J Suzuki Behaviormetrika 44 (1), 97-116, 2017 | 30 | 2017 |

Fast Jacobian Group Arithmetic on *C*_{ab} CurvesR Harasawa, J Suzuki International Algorithmic Number Theory Symposium, 359-376, 2000 | 27 | 2000 |

Comparing the MOV and FR reductions in elliptic curve cryptography R Harasawa, J Shikata, J Suzuki, H Imai International Conference on the Theory and Applications of Cryptographic …, 1999 | 21 | 1999 |

On strong consistency of model selection in classification J Suzuki IEEE transactions on information theory 52 (11), 4767-4774, 2006 | 18 | 2006 |

The Bayesian chow-liu algorithm J Suzuki The Sixth European Workshop on Probabilistic Graphical Models, 315-322, 2012 | 15 | 2012 |

Branch and Bound for Regular Bayesian Network Structure Learing. J Suzuki, J Kawahara UAI, 2017 | 10 | 2017 |

An efficient Bayesian network structure learning strategy J Suzuki New Generation Computing 35 (1), 105-124, 2017 | 10 | 2017 |

On the stationary distribution of GAs with fixed crossover probability UC De Silva, J Suzuki Proceedings of the 7th annual conference on Genetic and evolutionary …, 2005 | 10 | 2005 |

The universal measure for general sources and its application to MDL/Bayesian criteria J Suzuki 2011 Data Compression Conference (DCC), 478-478, 2011 | 9 | 2011 |