System Engineering Research Laboratory: Paper List (Artificial Intelligence (Data Mining))

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Information Science:
Artificial Intelligence (Data Mining)

Last Update: August 17, 2010

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1.	T. Onoda, S. Yamada (National Institute of Informatics), "Comparison of Performance for SVM based Relevance Feedback Document Retrieval in several Vector Space Models," 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Dec. 2009, Australia, pp. 169-172
2.	T. Onoda, N. Ito, H. Yamasaki (Kyushu Electric Power Co., Inc.), "Unusual Condition Monitoring based on Support Vector Machines for Hydroelectric Power Plants," The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), June 2008, pp. 2254-2261, Hong Kong
3.	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
4.	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.
5.	T. Onoda, N. Ito, K. Shimizu (Kyushu Electric Power Co., Inc.), "Unusual Condition Detection of Bearing Vibration in Hydroelectric Power Plants for Risk Management," International Workshops Collocated with the 20th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2006) WS3 Risk Mining, June 2006, Japan
6.	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
7.	Y. Sinohara, T. Miura, "Active Feature Selection Based on A Very Limited Number of Entities," 5th International Symposium on Intelligent Data Analysis, Aug. 2003 Keywords: Feature Selection, Active Learning, Support Vector Machines, Sampling
8.	T. Miura, Y. Shinohara, "Interactive Identification of Effective Attributes by the Selection of a Very Limited Number of Samples," The 2002 Pacific Rim Knowledge Acquisition Workshop, Aug. 2002 Keywords: Knowledge Acquisition, Date Mining, Machine Learning

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