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1.发明公开
公开(公告)号：EP4258193A1
公开(公告)日：2023-10-11
申请号：EP23163131.8
申请日：2023-03-21
发明人： LIU, Mengyue , ZHANG, Haibin , ZHAO, Penghao , LI, Shupeng , SHI, En
IPC分类号： G06Q10/0635
摘要： The present disclosure provides a method and apparatus for predicting a risk, and relates to the technical fields of knowledge graphs, machine learning, etc. A specific implementation is: determining an inherent risk probability of a to-be-tested object; building a relationship graph between the to-be-tested object and different associated objects; determining a primary conduction probability between any two directly associated objects in the relationship graph; determining, based on the primary conduction probability between any two directly associated objects in the relationship graph and the relationship graph, a multi-level conduction probability of the to-be-tested object; and determining a target risk probability of the to-be-tested object, based on the inherent risk probability and the multi-level conduction probability of the to-be-tested object. This embodiment improves an accuracy of risk prediction.
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2.发明公开
公开(公告)号：EP4105775A3
公开(公告)日：2023-02-22
申请号：EP22190846.0
申请日：2022-08-17
发明人： SHI, En , XIE, Yongkang , PAN, Zihao , LI, Shupeng , CHEN, Xiaoyu , QIAN, Zhengyu , LI, Jingqiu
摘要： Disclosed are a method, a system and an apparatus for model production, and an electronic device, which relate to a field of computer technologies, and further to a field of artificial intelligence technologies. The method includes: acquiring a related operation for model production from a user interface layer of a model production system, and determining a software platform of the model production system; acquiring a model service corresponding to the related operation by invoking an application programming interface (API) corresponding to the related operation; performing the model service by invoking local resources of the software platform with a tool of the software platform adapted to the model service, to generate a target model ; and applying the target model in a target usage scene. The method for model production has a relatively good universality and expansibility.
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3.发明公开
公开(公告)号：EP4105775A2
公开(公告)日：2022-12-21
申请号：EP22190846.0
申请日：2022-08-17
发明人： SHI, En , XIE, Yongkang , PAN, Zihao , LI, Shupeng , CHEN, Xiaoyu , QIAN, Zhengyu , LI, Jingqiu
摘要： Disclosed are a method, a system and an apparatus for model production, and an electronic device, which relate to a field of computer technologies, and further to a field of artificial intelligence technologies. The method includes: acquiring a related operation for model production from a user interface layer of a model production system, and determining a software platform of the model production system; acquiring a model service corresponding to the related operation by invoking an application programming interface (API) corresponding to the related operation; performing the model service by invoking local resources of the software platform with a tool of the software platform adapted to the model service, to generate a target model ; and applying the target model in a target usage scene. The method for model production has a relatively good universality and expansibility.
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4.发明公开
公开(公告)号：EP3968145A1
公开(公告)日：2022-03-16
申请号：EP20938507.9
申请日：2020-10-28
发明人： XIE, Yongkang , MA, Ruyue , XIN, Zhou , CAO, Hao , SHI, Kuan , ZHOU, Yu , LI, Yashuai , SHI, En , WU, Zhiquan , PAN, Zihao , LI, Shupeng , HU, Mingren , WU, Tian
IPC分类号： G06F8/20
摘要： The present disclosure relates to an apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium, and relates to the technologies of artificial intelligence and cloud platform. The customized production line is an additional development process that is different from a pre-defined development process of the artificial intelligence development platform and defined by a file set. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on the file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface so as to execute the additional development process.
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