Titlebook: Agents and Data Mining Interaction; 9th International Wo Longbing Cao,Yifeng Zeng,Philip S. Yu Conference proceedings 2014 Springer-Verlag

anatomical

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arterioles

https://doi.org/10.1007/978-3-642-55192-5agent mining; artificial intelligence; clustering; data mining; distributed systems; intelligent agents; m

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松果

Longbing Cao,Yifeng Zeng,Philip S. YuIncludes supplementary material:

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Agents and Data Mining Interaction978-3-642-55192-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Redundant Feature Selection for Telemetry Datage of these different types of redundancy, considering intra-signal and inter-signal redundancies separately. We illustrate the process on vehicle telemetry signal data collected in a driver distraction monitoring project. We evaluate it using several machine learning algorithms: Random Forest; Naïv

Estrogen

Learning Heterogeneous Coupling Relationships Between Non-IID Termsd relations from term to term. This coupled representation provides much richer information that enables us to create a coupled similarity metric for measuring document similarity, and a coupled document similarity based K-Nearest centroid classifier will be applied to the classification task. Exper

NOCT