| Semi-supervised sequential kernel regression models with pairwise constraints H Tang, S Miyamoto Modeling Decisions for Artificial Intelligence: 10th International …, 2013 | 4 | 2013 |
| Sequential extraction of fuzzy regression models: Least squares and least absolute deviations H Tang, S Miyamoto International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems …, 2011 | 4 | 2011 |
| Semi-Supervised Sequential Kernel Regression Models with Penalty Functions H Tang, S Miyamoto, Y Endo Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2015 | 3 | 2015 |
| Sequential Regression Models with Pairwise Constraints Using Noise Clusters. H Tang, S Miyamoto Journal of Advanced Computational Intelligence and Intelligent Informatics …, 2012 | 3 | 2012 |
| Sequential Extraction of Clusters in Hard and Fuzzy Regression Models HJ Tang Master's Thesis, Graduate School of Systems and Information Engineering, 2012 | 2 | 2012 |
| Algorithms in sequential fuzzy regression models based on least absolute deviations H Tang, S Miyamoto Modeling Decisions for Artificial Intelligence: 7th International Conference …, 2010 | 2 | 2010 |
| Blocked Time-Step Algorithm for Accelerating k-Means and Fuzzy c-Means H Tang, T Matsubayashi, H Sawada 2015 IEEE International Conference on Systems, Man, and Cybernetics, 2561-2566, 2015 | 1 | 2015 |
| Sequential extraction of clusters for imbalanced data H Tang, S Miyamoto 2013 IEEE International Conference on Granular Computing (GrC), 281-285, 2013 | 1 | 2013 |
| Time-Series Predictions for People-Flow with Simulation Data H Tang, T Matsubayashi, D Sato, H Toda PRIMA 2018: Principles and Practice of Multi-Agent Systems: 21st …, 2018 | | 2018 |
| Sequential Extraction of Clusters in Regression Models using Noise Clustering 唐恒進 | | 2015 |
