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Titlebook: Integrated Uncertainty in Knowledge Modelling and Decision Making; 10th International S Katsuhiro Honda,Bac Le,Youji Kohda Conference proce

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楼主: polysomnography
发表于 2025-3-26 22:00:43 | 显示全部楼层
Inference Problem in Probabilistic Multi-label ClassificationTo shrink this gap, we present a generic approach for developing polynomial-time inference algorithms for a family of criteria and discuss the potential (dis)advantages of some commonly used criteria. Finally, we envision future work aimed at providing a comprehensive understanding of inference complexity and criteria selection.
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Joint Multiple Efficient Neighbors and Graph Learning for Multi-view Clustering efficiently. JMEG also uses partition space and consensus graph learning to uncover data structures efficiently. Experiments show that JMEG outperforms state-of-the-art methods with negligible additional computation cost.
发表于 2025-3-27 10:25:29 | 显示全部楼层
Predicting Stock Price Fluctuations Considering the Sunny Effecthod that takes into account the psychological effects of weather. In detail, image data combining stock price data and weather data were created and trained using a convolutional neural network (CNN). Then, by confirming the validity of the method, we confirmed that weather data can provide clues for predicting stock price fluctuations.
发表于 2025-3-27 15:33:25 | 显示全部楼层
TouriER: Temporal Knowledge Graph Completion by Leveraging Fourier Transformsier Transforms has proven effective in feature extraction. Through experiments on benchmark datasets, the TouriER model has demonstrated better performance compared to well-known models based on standard metrics.
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0302-9743 ion Making, IUKM 2023, held in Kanazawa, Japan, during November 2-4, 2023..The 58 full papers presented were carefully reviewed and selected from 107 submissions. The papers deal with all aspects of research results, ideas, and experiences of application among researchers and practitioners involved
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https://doi.org/10.1007/978-3-031-46781-3artificial intelligence; clustering algorithms; communication systems; computer networks; computer scien
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978-3-031-46780-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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