- 专利标题: Method, system, and computer program product for determining causality
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申请号: US16759115申请日: 2019-03-28
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公开(公告)号: US11537910B2公开(公告)日: 2022-12-27
- 发明人: Wenjuan Wei , Chunchen Liu , Lu Feng
- 申请人: NEC CORPORATION , Wenjuan Wei
- 申请人地址: JP Tokyo; CN Beijing
- 专利权人: NEC CORPORATION,Wenjuan Wei
- 当前专利权人: NEC CORPORATION,Wenjuan Wei
- 当前专利权人地址: JP Tokyo; CN Beijing
- 代理机构: Sughrue Mion, PLLC
- 国际申请: PCT/CN2019/080134 WO 20190328
- 国际公布: WO2020/191722 WO 20201001
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; G06F17/16 ; G06F17/18 ; G06N7/00
摘要:
Implementations of the present disclosure relate to a method, system and program product for determining a causality between a plurality of variables. Specifically, a method is provided for determining a causality between a plurality of vectors, which comprises: in response to a data set of a plurality of samples associated with the plurality of variables being collected, obtaining a matrix describing the causality between the plurality of variables, each sample among the plurality of samples comprising data that corresponds to the plurality of variables; determining fitness associated with the causality and sparsity associated with the causality based on the data set and the matrix, wherein the sparsity comprises a constraint on each vector among a plurality of vectors in the matrix, the constraint corresponding to a variable among the plurality of variables; building a first problem formula describing the causality according to the determined fitness and sparsity; and solving the built first problem formula so as to obtain a candidate result of the matrix. Further, there is provided a corresponding system and computer program product.
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