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RnRTD: Intelligent Approach Based on the Relationship-Driven Neural Network and Restricted Tensor Decomposition for Multiple Accusation Judgment in Legal Cases.

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Title: RnRTD: Intelligent Approach Based on the Relationship-Driven Neural Network and Restricted Tensor Decomposition for Multiple Accusation Judgment in Legal Cases.
Authors: Guo, Xiaoding1, Zhang, Hongli1, Ye, Lin1, Li, Shang1
Source: Computational Intelligence & Neuroscience. 7/7/2019, p1-18. 18p.
Database: Academic Search Ultimate
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Header DbId: asn
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An: 137356970
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: RnRTD: Intelligent Approach Based on the Relationship-Driven Neural Network and Restricted Tensor Decomposition for Multiple Accusation Judgment in Legal Cases.
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        Value: 10.1155/2019/6705405
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      – Code: eng
        Text: English
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        PageCount: 18
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      – TitleFull: RnRTD: Intelligent Approach Based on the Relationship-Driven Neural Network and Restricted Tensor Decomposition for Multiple Accusation Judgment in Legal Cases.
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            NameFull: Zhang, Hongli
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            NameFull: Ye, Lin
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              Text: 7/7/2019
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