| Deterministic annealing EM algorithm N Ueda, R Nakano Neural networks 11 (2), 271-282, 1998 | 770* | 1998 |
| Prediction of information diffusion probabilities for independent cascade model K Saito, R Nakano, M Kimura International conference on knowledge-based and intelligent information and …, 2008 | 653 | 2008 |
| Conventional genetic algorithm for job shop problems. R Nakano, T Yamada ICGA 91, 474-479, 1991 | 636 | 1991 |
| A genetic algorithm applicable to large-scale job-shop problems. T Yamada, R Nakano PPSN 2, 281-290, 1992 | 548 | 1992 |
| SMEM algorithm for mixture models N Ueda, R Nakano, Z Ghahramani, GE Hinton Neural computation 12 (9), 2109-2128, 2000 | 529 | 2000 |
| Generalization error of ensemble estimators N Ueda, R Nakano Proceedings of International Conference on Neural Networks (ICNN'96) 1, 90-95, 1996 | 384 | 1996 |
| Medical diagnostic expert system based on PDP model Saito, Nakano IEEE 1988 International Conference on Neural Networks, 255-262 vol. 1, 1988 | 357 | 1988 |
| Extracting influential nodes for information diffusion on a social network M Kimura, K Saito, R Nakano AAAI 7, 1371-1376, 2007 | 284 | 2007 |
| Extracting influential nodes on a social network for information diffusion M Kimura, K Saito, R Nakano, H Motoda Data Mining and Knowledge Discovery 20, 70-97, 2010 | 259 | 2010 |
| Genetic algorithms for job-shop scheduling problems T Yamada, R Nakano Proceedings of modern heuristic for decision support 6781, 1997 | 202 | 1997 |
| Optimizing support vector regression hyperparameters based on cross-validation K Ito, R Nakano Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003 | 154 | 2003 |
| Job shop scheduling T Yamada, R Nakano IEE control Engineering series, 134-134, 1997 | 141 | 1997 |
| Scheduling by genetic local search with multi-step crossover T Yamada, R Nakano International Conference on Parallel Problem Solving from Nature, 960-969, 1996 | 138 | 1996 |
| Job-shop scheduling by simulated annealing combined with deterministic local search T Yamada, R Nakano Meta-heuristics: Theory and applications, 237-248, 1996 | 129 | 1996 |
| A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers N Ueda, R Nakano Neural Networks 7 (8), 1211-1227, 1994 | 124 | 1994 |
| Split and merge EM algorithm for improving Gaussian mixture density estimates N Ueda, R Nakano, Z Ghahramani, GE Hinton Neural Networks for Signal Processing VIII, 1998. Proceedings of the 1998 …, 1998 | 113 | 1998 |
| A genetic algorithm with multi-step crossover for job-shop scheduling problems T Yamada, R Nakano IET Digital Library, 1995 | 112 | 1995 |
| The ECOlogical Framework II: Improving GA Performance At Virtually Zero Cost. Y Davidor, T Yamada, R Nakano ICGA, 171-176, 1993 | 94 | 1993 |
| Partial BFGS update and efficient step-length calculation for three-layer neural networks K Saito, R Nakano Neural Computation 9 (1), 123-141, 1997 | 86 | 1997 |
| Law discovery using neural networks K Saito, R Nakano IJCAI 97, 1078-1083, 1997 | 77 | 1997 |
Naonori Ueda理化学研究所/NTTコミュニケーション科学基礎研究所 /Zweryfikowany adres z riken.jp