京都大学化学研究所研究者情報   [ English | Japanese ]


烏山　昌幸（からすやま　まさゆき）

バイオインフォマティクスセンター 生命知識工学
助教
博士（工学）
URL:
E-mail: karasuyama@kuicr.kyoto-u.ac.jp
Tel:
Fax: 		no picture
研究・教育歴
専門分野
    統計的機械学習
主な研究テーマ
主な論文・著書
  1. Karasuyama, M.; Sugiyama, M., Canonical Dependency Analysis based on Squared-loss Mutual Information Neural Netw. 34, 46-55 (2012)
  2. 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)
  3. Karasuyama, M.; Takeuchi, I., Nonlinear Regularization Path for Quadratic Loss Support Vector Machines IEEE Trans. Neural Netw. 22 (10), 1613-1625 (2011)
  4. Karasuyama, M.; Takeuchi, I., Multiple Incremental Decremental Learning of Support Vector Machines IEEE Trans. Neural Netw. 21 (7), 1048-1059 (2010)
  5. 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)
  6. 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)
  7. 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)
  8. Karasuyama, M.; Takeuchi, I., Suboptimal Solution Path Algorithm for Support Vector Machine International Conference on Machine Learning 473-480 (2011)
  9. Karasuyama, M.; Takeuchi, I., Nonlinear Regularization Path for the Modified Huber loss Support Vector Machines International Joint Conference on Neural Networks 3099-3106 (2010)
  10. Karasuyama, M.; Takeuchi, I., Multiple Incremental Decremental Learning of Support Vector Machines Advances in Neural Information Processing Systems 22, 907-915 (2009)
  11. 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)
  12. 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)
  13. Karasuyama, M.; Nakano, R., Optimizing SVR Hyperparameters via Fast Cross-Validation using AOSVR International Joint Conference on Neural Networks 1186-1191 (2007)
  14. Karasuyama, M.; Kitakoshi, D.; Nakano, R., Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error International Joint Conference on Neural Networks 711-718 (2006)

Update: Nov 14,2012