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Ryohei Nakano
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Cited by
Cited by
Year
Deterministic annealing EM algorithm
N Ueda, R Nakano
Neural networks 11 (2), 271-282, 1998
760*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
6272008
Conventional genetic algorithm for job shop problems.
R Nakano, T Yamada
ICGA 91, 474-479, 1991
6201991
A genetic algorithm applicable to large-scale job-shop problems.
T Yamada, R Nakano
PPSN 2, 281-290, 1992
5261992
SMEM algorithm for mixture models
N Ueda, R Nakano, Z Ghahramani, GE Hinton
Neural computation 12 (9), 2109-2128, 2000
5252000
Generalization error of ensemble estimators
N Ueda, R Nakano
Proceedings of International Conference on Neural Networks (ICNN'96) 1, 90-95, 1996
3601996
Medical diagnostic expert system based on PDP model
Saito, Nakano
IEEE 1988 International Conference on Neural Networks, 255-262 vol. 1, 1988
3541988
Extracting influential nodes for information diffusion on a social network
M Kimura, K Saito, R Nakano
AAAI 7, 1371-1376, 2007
2852007
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
2532010
Genetic algorithms for job-shop scheduling problems
T Yamada, R Nakano
Proceedings of modern heuristic for decision support 6781, 1997
1981997
Optimizing support vector regression hyperparameters based on cross-validation
K Ito, R Nakano
Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003
1432003
Scheduling by genetic local search with multi-step crossover
T Yamada, R Nakano
International Conference on Parallel Problem Solving from Nature, 960-969, 1996
1361996
Job shop scheduling
T Yamada, R Nakano
IEE control Engineering series, 134-134, 1997
1351997
Job-shop scheduling by simulated annealing combined with deterministic local search
T Yamada, R Nakano
Meta-heuristics: Theory and applications, 237-248, 1996
1291996
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
1251994
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
1131998
A genetic algorithm with multi-step crossover for job-shop scheduling problems
T Yamada, R Nakano
IET Digital Library, 1995
1121995
The ECOlogical Framework II: Improving GA Performance At Virtually Zero Cost.
Y Davidor, T Yamada, R Nakano
ICGA, 171-176, 1993
951993
Partial BFGS update and efficient step-length calculation for three-layer neural networks
K Saito, R Nakano
Neural Computation 9 (1), 123-141, 1997
851997
Extracting regression rules from neural networks
K Saito, R Nakano
Neural networks 15 (10), 1279-1288, 2002
772002
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