… for dimension reduction techniques, including multi-dimensional scaling (MDS) and related … The network analysis by Boolean and Bayesiannetworks will be used for the follow-up …
廖芷燕, 李银红 - Electric Power Automation Equipment …, 2022 - search.ebscohost.com
… -DBN(Dynamic BayesianNetwork) is proposed. The spatial correlation of multi-dimensional … and transfer entropy,and the Bayesiannetwork in the initial state is established. The initial …
B Li, Y Wang, D Yang, Y Li, X Ma - Frontiers, 2019 - jzus.zju.edu.cn
… FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional … accurate anomaly detection method for a multi-dimensional sequence over data stream", …
… The mining results Bayesiannetwork showed that the categories of primary diseases and ADR occurrence time were the main predictors of nervous system damage. The mining results …
… Finally, the paper prospected future development of demand-side energy forecasting and envisaged constructing collaborative and multi-dimensional energy forecasting frameworks or …
… has the advantages of user personalization, multi-dimensional input parameters and dynamic prediction. … A personalised thermal comfort model using a bayesiannetwork[C]// YANG Q, …
… model which tries to transform a multi-dimensional linearly-inseparable problem in original data … and it is good at high-dimensional data classification. In order to alleviate the high train …
… clustering techniques, which could help social network companies provide better services. [… Clustering User Groups of Public Opinion Events from Multi-dimensional Social Network. …