Learning systems of concepts with an infinite relational model C Kemp, JB Tenenbaum, TL Griffiths, T Yamada, N Ueda AAAI 3, 5, 2006 | 926 | 2006 |
Conventional genetic algorithm for job shop problems. R Nakano, T Yamada ICGA 91, 474-479, 1991 | 616 | 1991 |
A genetic algorithm applicable to large-scale job-shop problems. T Yamada, R Nakano PPSN 2, 281-290, 1992 | 519 | 1992 |
Genetic algorithms, path relinking, and the flowshop sequencing problem CR Reeves, T Yamada Evolutionary computation 6 (1), 45-60, 1998 | 347 | 1998 |
Bayesian unsupervised word segmentation with nested Pitman-Yor language modeling D Mochihashi, T Yamada, N Ueda Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 326 | 2009 |
Topic tracking model for analyzing consumer purchase behavior T Iwata, S Watanabe, T Yamada, N Ueda Twenty-First international joint conference on artificial intelligence, 2009 | 210 | 2009 |
Genetic algorithms for job-shop scheduling problems T Yamada, R Nakano Proceedings of modern heuristic for decision support 6781, 1997 | 195 | 1997 |
Online multiscale dynamic topic models T Iwata, T Yamada, Y Sakurai, N Ueda Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 153 | 2010 |
Scheduling by genetic local search with multi-step crossover T Yamada, R Nakano International Conference on Parallel Problem Solving from Nature, 960-969, 1996 | 135 | 1996 |
Job shop scheduling T Yamada, R Nakano IEE control Engineering series, 134-134, 1997 | 133 | 1997 |
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 |
Probabilistic latent semantic visualization: topic model for visualizing documents T Iwata, T Yamada, N Ueda Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008 | 123 | 2008 |
A genetic algorithm with multi-step crossover for job-shop scheduling problems T Yamada, R Nakano IET Digital Library, 1995 | 112 | 1995 |
Studies on metaheuristics for jobshop and flowshop scheduling problems T Yamada 京都大学 (Kyoto University), 2003 | 97 | 2003 |
The ECOlogical Framework II: Improving GA Performance At Virtually Zero Cost. Y Davidor, T Yamada, R Nakano ICGA, 171-176, 1993 | 95 | 1993 |
Automatic generation system of multiple-choice cloze questions and its evaluation T Goto, T Kojiri, T Watanabe, T Iwata, T Yamada Knowledge Management & E-Learning 2 (3), 210, 2010 | 94 | 2010 |
Extracting Communities from Complex Networks by the k-Dense Method K Saito, T Yamada, K Kazama IEICE Transactions on Fundamentals of Electronics, Communications and …, 2008 | 92 | 2008 |
Topigraphy: visualization for large-scale tag clouds K Fujimura, S Fujimura, T Matsubayashi, T Yamada, H Okuda Proceedings of the 17th international conference on World Wide Web, 1087-1088, 2008 | 88 | 2008 |
Solving the C/sub sum/permutation flowshop scheduling problem by genetic local search T Yamada, CR Reevesm 1998 IEEE International Conference on Evolutionary Computation Proceedings …, 1998 | 77 | 1998 |
Modeling social annotation data with content relevance using a topic model T Iwata, T Yamada, N Ueda Advances in Neural Information Processing Systems 22, 2009 | 67 | 2009 |