Academic career
Research field
Current research
Selected publications
- Karasuyama, M.; Sugiyama, M., Canonical Dependency Analysis based on Squared-loss Mutual Information Neural Netw. 34, 46-55 (2012)
- Karasuyama, M.; Harada, N; Sugiyama, M.; Takeuchi, I., Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines Mach. Learn. 88 (3), 297-330 (2012)
- Karasuyama, M.; Takeuchi, I., Nonlinear Regularization Path for Quadratic Loss Support Vector Machines IEEE Trans. Neural Netw. 22 (10), 1613-1625 (2011)
- Karasuyama, M.; Takeuchi, I., Multiple Incremental Decremental Learning of Support Vector Machines IEEE Trans. Neural Netw. 21 (7), 1048-1059 (2010)
- Karasuyama, M.; Takeuchi, I.; Nakano, R., Efficient Leave-m-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm New Gener. Comput. 27 (4), 307-318 (2009)
- Moriguchi, H.; Takeuchi, I.; Karasuyama, M.;Horikawa, S.; Ohta, Y.; Kodama, T.; Naruse, H., Adaptive Kernel Quantile Regression for Anomaly Detection Journal of Advanced Computational Intelligence and Inteligent Informatics 13 (3), 230-236 (2009)
- Karasuyama, M.; Harada, N.; Sugiyama, M.; Takeuchi, I., Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines IEEE International Workshop on Machine Learning for Signal Processing (2011)
- Karasuyama, M.; Takeuchi, I., Suboptimal Solution Path Algorithm for Support Vector Machine International Conference on Machine Learning 473-480 (2011)
- Karasuyama, M.; Takeuchi, I., Nonlinear Regularization Path for the Modified Huber loss Support Vector Machines International Joint Conference on Neural Networks 3099-3106 (2010)
- Karasuyama, M.; Takeuchi, I., Multiple Incremental Decremental Learning of Support Vector Machines Advances in Neural Information Processing Systems 22, 907-915 (2009)
- Karasuyama, M.; Takeuchi, I.; Nakano, R., Reducing SVR Support Vectors by Using Backward Deletion International Conference on Knowledge-Based intelligent information and Engineering Systems 76-83 (2008)
- Karasuyama, M.; Nakano, R., Optimizing Sparse Kernel Ridge Regression Hyperparameters Based on Leave-one-out Cross-validation International Joint Conference on Neural Networks 3463-3468 (2008)
- Karasuyama, M.; Nakano, R., Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR International Joint Conference on Neural Networks 1186-1191 (2007)
- Karasuyama, M.; Kitakoshi, D.; Nakano, R., Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error International Joint Conference on Neural Networks 711-718 (2006)
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