Titlebook: Machine Learning and Knowledge Discovery in Databases; European Conference, Frank Hutter,Kristian Kersting,Isabel Valera Conference proceed

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Online Binary Incomplete Multi-view Clusteringy and theoretically prove its convergence. Experiments on four real datasets demonstrate the efficiency and effectiveness of the proposed OBIMC method. As indicated, our algorithm significantly and consistently outperforms some state-of-the-art algorithms with much less running time.

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Simple, Scalable, and Stable Variational Deep Clusteringose a novel clustering algorithm S3VDC (simple, scalable, and stable VDC) that incorporates all those improvements. Our experiments show that S3VDC outperforms the state-of-the-art on both benchmark tasks and a large unstructured industrial dataset without any ground truth label. In addition, we ana

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Privacy-Preserving Decision Trees Training and Predictionys a low-degree approximation for the step-function together with a lightweight interactive protocol, to replace components of the vanilla algorithm that are costly over encrypted data. Our protocols for decision trees achieve practical usability demonstrated on standard UCI datasets, encrypted with

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: Unified Dense Subgraph Detectionmains, and demonstrate that our algorithm yields up?to . speedup and achieves better or approximately equal-quality solutions for the densest subgraph detection compared to the baselines. Moreover, . scales linearly with the graph size and is proved effective in applications, such as finding collabo

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Networked Point Process Models Under the Lens of Scrutinypoint out when some methods should be used depending on the expected efficacy, execution time, or dataset properties. Overall, we find that only three models show consistent significant results in real-world data.. ..

參考書(shū)目

FB2vec: A Novel Representation Learning Model for Forwarding Behaviors on Online Social Networksginal orders by an attribute-reserved siamese network. Extensive experiments demonstrate the effectiveness of FB2vec and the visualization of information intensity function indicates the rationality of FB2vec.