System Engineering Research Laboratory: Paper List (Artificial Intelligence (Machine Learning))

Information Science:
Artificial Intelligence (Machine Learning)

Last Update: August 17, 2010

(Sort by date)

1.	F.Tsutsumi, H.Murata, T.Onoda, O.Oguri(Chubu Electric Power Co.,Inc.), H.Tanaka(Chubu Electric Power Co.,Inc.), "Automatic Corrosion Estimation Using Galvanized Steel Images on Power Transmission Towers", IEEE T&D Asia 2009, October 2009, Korea
2.	H. Murata,T. Onoda,S. Yamada (National Institute of Informatics), "SVM-Based Relevance Feedback Document Retrieval in Different Representations of Document Vectors,"Proceedings of the IASTED International Conference Artificial Intelligence and Applications 2009, pp. 100-105, Feb. 2009, Austria Keywords: Relevance Feedback, Document Retrieval, Active Learning, Support Vector Machines, Vector Representation, Rocchiobased System
3.	T. Onoda, N. Ito, H. Yamasaki (Kyushu Electric Power Co., Inc.), "Interactive Trouble Condition Sign Discovery for Hydroelectric Power Plants," International Conference on Neural Information Proceedings 2008, Nov. 2008, New Zealand
4.	M. Asari, N. Iyo, T. Onoda, Y. Nakano, K. Matsuda (Tohoku Electric Power Co., Inc.), M. Wada (Tohoku Electric Power Co., Inc.) M. Tamaki (Tohoku Instruments Co., Ltd.), "Method for Unferring Operating Status of Distributed Generator," ICEE 2008, July 2008, Okinawa Keywords: Distributed Generation, Distribution Networks, Operating Status, Power Factor, Support Vector Machine
5.	N. Sano, H. Suzuki (University of Tsukuba), M. Koda (University of Tsukuba), "A Robust Ensemble Learning Using Zero-One Loss Function," Journal of the Operations Research Society of Japan, Vol. 51 No. 1, March 2008 Keywords: Data Analysis, Data Mining, Adaboost, Zero-One Loss Function, Stochastic
6.	T. Onoda, S. Yamada (National Institute of Informatics), "SVM-based Interactive Document Retrieval with Active Learning," New Generation Computing, Vol. 26 No. 1, 2008 Keywords: Document Retrieval, Relevance Feedback, Support Vector Machines, Active Learning
7.	Y. Sinohara, A. Takasu (National Institute of Informatics), "Support Kernel Machine-Based Active Learning to Find Labels and a Proper Kernel Simultaneously," 8th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'07), Dec. 2007, U.K.
8.	T. Onoda, N. Ito, H. Yamasaki (Kyushu Electric Power Co., Inc.), "One-Class SVM Based Unusual Condition Monitoring for Risk Management of Hydroelectric Power Plants," International Joint Conference on Neural Networks 2007, Aug. 2007, U.S.A.
9.	T. Onoda, H. Murata, S. Yamada (National Institute of Informatics), "Support Vector Machines based Active Learning for the Relevance Feedback Document Retrieval," Web Intelligence '06 International Workshop on Intelligent Web Interaction, Dec., 2006, Hong Kong
10.	T. Onoda, S. Yamada (National Institute of Informatics), "Active Learning with Support Vector Machines in the Relevance Feedback Document Retrieval," Proceedings of International Conference on Control, Automation, Robotics and Vision 2006, Dec., 2006, Singapore Keywords: Document retrieval, Relevance feedback, Support vector machine, Active learning
11.	T. Onoda, N. Ito, H. Yamasaki (Kyushu Electric Power Co., Inc.), "Unusual Condition Mining for Risk Management of Hydroelectric Power Plants," ICDM-06 Workshops Workshop on Risk Mining 2006, Dec., 2006, Hong Kong
12.	T. Onoda, H. Murata, S. Yamada (National Institute of Informatics), "One Class Classification Methods based Non-Relevance Feedback Document Retrieval," Web Intelligence '06 International Workshop on Intelligent Web Interaction, Dec., 2006, Hong Kong
13.	F. Tsutsumi, "Interactive Machine Learning tool with Automatic Tagging for Video Recognition System," Proceedings of UIST'06 (The nineteenth annual ACM Symposium on User Interface Software and Technology), Oct. 2006, Switzerland
14.	T. Onoda, H. Murata, S. Yamada (National Institute of Informatics), "Non-Relevance Feedback Document Retrieval based on One Class SVM and SVDD," International Joint Conference on Neural Networks 2006, July 2006, Canada
15.	Y. Nakano, H. Murata, K. Yoshimoto, S. Hidaka (Tokyo University of Agriculture and Technology), M. Tadokoro (Tokyo University of Agriculture and Technology), K. Nagasaka (Tokyo University of Agriculture and Technology), "Non-Intrusive Electric Appliances Load Monitoring System - Performance Test Results at Real Households-," International Conference on Electrical Engineering 2006 (ICEE2006), July 2006, Korea Keywords: Non-Intrusive Monitoring, Household Electric Appliances, Harmonics, Support Vector Machine, Radial Basis Function Network, Load Survey, Performance Test
16.	Y. Nakano, H. Murata, K. Yoshimoto, S. Hidaka (Tokyo University of Agriculture and Technology), M. Tadokoro (Tokyo University of Agriculture and Technology), K. Nagasaka (Tokyo University of Agriculture and Technology), "Non-Intrusive Electric Appliances Load Monitoring System Using Harmonic Pattern Recognition - Performance Test Results at Real Households -," 4th International Conference on Energy Efficiency in Domestic Appliances and Lighting (EEDAL '06), June 2006, UK
17.	T. Onoda,H. Murata,S. Yamada (National Institute of Informatics), "Comparison of Retrieval Efficiency between One Class SVM based and SVDD based Non-Relevant Feedback Document Retrieval," The International Conference on Computational Intelligence, Robotics and Autonomous Systems 2005, Dec. 2005, Singapore
18.	T. Onoda,H. Murata,S. Yamada (National Institute of Informatics), "One Class Support Vector Machine based Non-Relevance Feedback Document Retrieval," Proceedings of International Joint Conference on Neural Networks 2005, Aug. 2005, Canada
19.	H. Murata,T. Onoda,S. Yamada(National Institute of Informatics), "Non-Relevance Feedback Document Retrieval," Artificial Intelligence and Applications 2005, Feb. 2005, Austria, Proceedings of the 23rd IASTED International Multi-Conference, pp. 84-89
20.	T. Onoda,H. Murata,S. Yamada(National Institute of Informatics), "Non-Relevance Feedback Document Retrieval," 2004 IEEE Conference on Cybernetic and Intelligent Systems, Dec. 2004, Proceedings of IEEE Conference on Cybernetic and Intelligent Systems 2004, Singapore, pp. 456-461
21.	T. Onoda, H. Murata, S. Yamada (National Institute of Informatics), "Relevance feedback Document Retrieval Using Support Vector Machines," International Symposium on Methodologies for Intelligent Systems Workshop Active Mining 2003, Oct. 2003 Keywords: Relevance Feedback, Document Retrieval, Classification, Vector Space Model, Support Vector Machine
22.	T. Onoda, H. Murata, S. Yamada (National Institute of Informatics), "Relevance Feedback with Active Learning for Document Retrieval," International Joint Conference on Neural Networks 2003, July 2003
23.	T. Onoda, H. Murata, S. Yamada (National Institute of Informatics), "Interactive Document Retrieval with Active Learning," International Workshop on Active Mining 2002 in ICDM2002, Dec. 2002, Maebashi Keywords: Document Retrieval, Active Learning, Support Vector Machine, Relevance Feedback
24.	H. Murata, T. Onoda, "ESTIMATION OF POWER CONSUMPTION FOR HOUSEHOLD ELECTRIC APPLIANCES," 9th International Conference on Neural Information Processing, Nov. 2002, Singapore Keywords: Load monitoring system, Regression, Multi-layered perceptrons, Support vector machine, RBF networks
25.	T. Onoda, H. Murata, Gunnar Raetsch (GMD),Klaus R. Mueller (GMD), "Experimental Analysis of Support Vector Machines with Different Kernels based on Non-Intrusive Monitoring Date," International Joint Conference on Neural Networks 2002, May 2002, U.S.A. Keywords: Support Vector Machines, Kernels, Non-Intrusive Monitoring
26.	H. Murata, T. Onoda, "Applying Kernel Based Subspace Classification to a Non-intrusive Monitoring for Household Electric Appliances," International Conference on Artificial Neural Networks, Aug. 2001, Austria Keywords: Kernel Method, Subspace Classification, Support Vector Machine, Monitoring
27.	T. Onoda, G. Raetsch, K.-R Mueller (GMD), "Applying Support Vector Machine and Boosting to a Non-Intrusive Monitoring System for Household Electric Appliances with Inverters," NC'2000 Second International ICSC Symposium on NEURAL COMPUTATION, May 2000, Germany Keywords: Support Vector Machine, Boosting, Monitoring
28.	T. Onoda, G. Ratsch, B. Scholkopf, A. J. Smola, S. Mika, K. R. Muller (GMD), "Robust Ensemble Learning for Data Mining," The 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Apr. 2000, Japan Keywords: Ensemble Learning, Data Mining, Adaboost
29.	A. Futakata, "Self-Organization of Digital Documents based on Process-Oriented Relations," Hawaii International Conference on System Sciences 2000, Jan. 2000, Hawaii
30.	T. Onoda, "An Improvement of AdaBoost to Avoid Overfitting," International Conference On Neural Information Processing 98, Ogura Japan, Dec. 1998 Keywords: Ensemble Learning, Adaboost, Margin Distribution, Generalization, Support Vectors, RBF networks
31.	T. Onoda, G. Ratsch, K. R. Muller, "ν-AdaBoost," Neural Information Processing Systems 98 Workshop, Dec. 1998, Breckenridge Colorado, U.S.A. Keywords: Ensemble Learning, Adaboost, Classification, Margin Distribution, RBF Networks
32.	G. Ratsch, T. Onoda, K. R. Muller, "Regularizing AdaBoost," Neural Information Processing Systems 98, Dec. 1998, Denver, U.S.A. Keywords: Ensemble Learning, Adaboost, Classification, Margin Distribution, RBF Networks
33.	T. Onoda, G. Ratsch, K.-R. Muller, "An Asymptotic Analysis of AdaBoost in the Binary Classification Case," International Conference on Artificial Neural Networks 98, Skoevde Sweden, Sep. 1998 Keywords: Ensemble Learning, Adaboost, Margin Distribution, Classification, RBF networks
34.	T. Shimada, A. Futakata, "Automatic Link Generation and Repair Mechanism for Document Management," Proceedings of the 31st Annual Hawaii International Conference on System Science, Vol. II, Jan. 1998 Keywords: Document Management, Distributed Management, Open Systems, Hypertext
35.	T. Onoda, Y. Shinohara, "Information Criterion for Acquisition of Optimal Internal Representation in Neural Networks," IEEE International Conference on Neural Information Processing 97, Nov. 1997 Keywords: Neural Network, Information Criterion
36.	T. Onoda, "Experimental Analysis of Generalization Capability on Information Criteria," IEEE International Conference on Neural Network 96, Jun. 1996 Keywords: Neural Network, Information Criteria.
37.	T. Onoda, "Neural Network Information Criterion for the Optimal Number of Hidden Units," International Conference on Neural Network 95, Nov. 1995 Keywords: Neural Network, Information Criteria.

Go to paper list top page

Information Science:Artificial Intelligence (Machine Learning)

Information Science:
Artificial Intelligence (Machine Learning)