踉跄 发表于 2025-3-25 05:52:51

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oxidize 发表于 2025-3-25 08:45:47

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entreat 发表于 2025-3-25 15:07:48

Intrinsically Disordered Proteinsd Index (ARI) and silhouette score on synthetic data as well as on Sushi preference data set collected from real world. The results show that our model has an equivalent quality with traditional preference representations for certain cases while it has better quality confronting imperfect cases.

B-cell 发表于 2025-3-25 16:34:39

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不理会 发表于 2025-3-25 23:38:10

Intrinsically Disordered Proteinswith the other LLDA algorithms (Prior–LDA, Dep–LDA), as well as the state-of-the-art in extreme multi-label classification. The results show a steady advantage of our method over the other LLDA algorithms and competitive results compared to the extreme multi-label classification algorithms.

方舟 发表于 2025-3-26 01:27:26

https://doi.org/10.1007/978-3-319-08921-8es using the idea of an Encrypted Distance Matrix (EDM) which, for illustrative purposes, has been embedded in an approach to secure third-party data clustering - the Secure Nearest Neighbour Clustering (SNNC) approach, that uses order preserving and homomorphic encryption. Both the EDM concept and the SNNC approach are fully described.

冒失 发表于 2025-3-26 06:29:20

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吞吞吐吐 发表于 2025-3-26 10:52:01

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amphibian 发表于 2025-3-26 14:56:39

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离开可分裂 发表于 2025-3-26 19:12:19

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查看完整版本: Titlebook: Big Data Analytics and Knowledge Discovery; 20th International C Carlos Ordonez,Ladjel Bellatreche Conference proceedings 2018 Springer Nat