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Titlebook: Emerging Intelligent Computing Technology and Applications; 9th International Co De-Shuang Huang,Phalguni Gupta,Michael Gromiha Conference

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31#
發(fā)表于 2025-3-26 21:13:11 | 只看該作者
Chinese Sentiment Classification Based on the Sentiment Drop Pointolarity assignment. It predicts the sentiment polarity by a determinative policy which involves two classifiers simultaneously. The experiments show that our approach is efficient and suited for reviews analysis in different domains.
32#
發(fā)表于 2025-3-27 03:42:22 | 只看該作者
Automated Model Selection and Parameter Estimation of Log-Normal Mixtures via BYY Harmony Learningdemonstrated by the experiments that the proposed BYY harmony learning algorithm not only automatically determines the number of actual log-normal distributions in the sample dataset, but also leads to a satisfactory estimation of the parameters in the original log-normal mixture.
33#
發(fā)表于 2025-3-27 05:17:41 | 只看該作者
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發(fā)表于 2025-3-27 11:31:54 | 只看該作者
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發(fā)表于 2025-3-27 16:40:02 | 只看該作者
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發(fā)表于 2025-3-27 19:46:13 | 只看該作者
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發(fā)表于 2025-3-28 01:21:47 | 只看該作者
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發(fā)表于 2025-3-28 02:58:56 | 只看該作者
39#
發(fā)表于 2025-3-28 09:45:16 | 只看該作者
40#
發(fā)表于 2025-3-28 12:40:56 | 只看該作者
Assessment of Protein-Graph Remodeling via Conformational Graph Entropyer a graph is suitable for representing a protein. The experimental results suggest that when this extended graph entropy is applied, it helps a conformational on protein graph modeling. Besides, it also contributes to the protein structural comparison indirectly if a protein graph is solid.
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