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Non-Relevance Feedback for Document Retrieval.

, , and . Artificial Intelligence and Applications, page 84-89. IASTED/ACTA Press, (2005)

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Selection of Sensors that Influence Trouble Condition Sign Discovery based on a One-class Support Kernel Machine for Hydroelectric Power Plants., , and . IJCCI, page 466-473. SciTePress, (2013)An Interactive Independent Topic Analysis for a Mass Document Review Service., , and . Rev. Socionetwork Strateg., 12 (1): 47-69 (2018)SVM Based Maximum Power Consumption Excess Forecast Alert for Large-Scale Power Consumers., , and . ICPRAM, page 806-813. SCITEPRESS, (2023)Industry-Academia Research Collaborations in the Post-corona Era: A Case Study of Remote Operations in a Japanese State-of-the-Art Research Facility., and . AHFE (8), volume 266 of Lecture Notes in Networks and Systems, page 429-435. Springer, (2021)Support Vector Machines Based Active Learning for the Relevance Feedback Document Retrieval., , and . IAT Workshops, page 389-392. IEEE Computer Society, (2006)SVM-based Interactive Document Retrieval with Active Learning., , and . New Generation Comput., 26 (1): 49-61 (2007)On detection of cyber attacks against voltage control in distribution power grids., , , , , , and . SmartGridComm, page 842-847. IEEE, (2014)Neural network information criterion for the optimal number of hidden units.. ICNN, page 275-280. IEEE, (1995)Comparative Analysis of Relevance for SVM-Based Interactive Document Retrieval., , and . J. Adv. Comput. Intell. Intell. Informatics, 17 (2): 149-156 (2013)Unusual condition monitoring based on support vector machines for hydroelectric power plants., , and . IEEE Congress on Evolutionary Computation, page 2254-2261. IEEE, (2008)