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1. 发明授权

US08954359B2 Deriving predictions from data using information extraction and machine learning 有权
标题翻译：使用信息提取和机器学习从数据中推导出预测
公开(公告)号：US08954359B2
公开(公告)日：2015-02-10
申请号：US13481215
申请日：2012-05-25
申请人： Yi Huang , Xueyan Jiang , Maximilian Nickel , Volker Tresp
发明人： Yi Huang , Xueyan Jiang , Maximilian Nickel , Volker Tresp
IPC分类号： G06F15/18 , G06N99/00 , G06N7/02
CPC分类号： G06N99/005 , G06N7/02
摘要： Systems and methods are provided for deriving a prediction from existing data by utilizing information extraction and machine learning, wherein both approaches can be optimized independently from each other. Optionally, deductive reasoning may also be combined with information extraction and machine learning and may as well be optimized independently from the other two functionalities. The two or three functionalities may utilize at least one set of data and may (at least partially) process various sets of data. The combined approach may produce significantly improved results, and may be implemented in various technical fields, applications and use cases involving, e.g., data mining or processing of huge amounts of data. The disclosed systems and methods may be applicable for all kinds of technical systems, e.g., medical, genetic research, or industry and automation systems.
摘要翻译：提供了系统和方法，用于通过利用信息提取和机器学习从现有数据中导出预测，其中两种方法可以彼此独立地优化。可选地，演绎推理也可以与信息提取和机器学习相结合，并且还可以独立于其他两个功能进行优化。两个或三个功能可以利用至少一组数据，并且可以（至少部分地）处理各种数据集。组合的方法可以产生显着改进的结果，并且可以在涉及例如数据挖掘或处理大量数据的各种技术领域，应用和用例中实现。所公开的系统和方法可以适用于各种技术系统，例如医疗，遗传研究或工业和自动化系统。

2. 发明申请

US20130318012A1 Processing of Information 有权
标题翻译：信息处理
公开(公告)号：US20130318012A1
公开(公告)日：2013-11-28
申请号：US13481215
申请日：2012-05-25
申请人： Yi Huang , Xueyan Jiang , Maximilian Nickel , Volker Tresp
发明人： Yi Huang , Xueyan Jiang , Maximilian Nickel , Volker Tresp
IPC分类号： G06F15/18
CPC分类号： G06N99/005 , G06N7/02
摘要： Systems and methods are provided for deriving a prediction from existing data by utilizing information extraction and machine learning, wherein both approaches can be optimized independently from each other. Optionally, deductive reasoning may also be combined with information extraction and machine learning and may as well be optimized independently from the other two functionalities. The two or three functionalities may utilize at least one set of data and may (at least partially) process various sets of data. The combined approach may produce significantly improved results, and may be implemented in various technical fields, applications and use cases involving, e.g., data mining or processing of huge amounts of data. The disclosed systems and methods may be applicable for all kinds of technical systems, e.g., medical, genetic research, or industry and automation systems.
摘要翻译：提供了系统和方法，用于通过利用信息提取和机器学习从现有数据中导出预测，其中两种方法可以彼此独立地优化。可选地，演绎推理也可以与信息提取和机器学习相结合，并且还可以独立于其他两个功能进行优化。两个或三个功能可以利用至少一组数据，并且可以（至少部分地）处理各种数据集。组合的方法可以产生显着改进的结果，并且可以在涉及例如数据挖掘或处理大量数据的各种技术领域，应用和用例中实现。所公开的系统和方法可以适用于各种技术系统，例如医疗，遗传研究或工业和自动化系统。

3. 发明授权

US10055689B2 Calculating a relation indicator for a relation between entities 有权
公开(公告)号：US10055689B2
公开(公告)日：2018-08-21
申请号：US14680232
申请日：2015-04-07
申请人： Maximilian Nickel , Volker Tresp , Xueyan Jiang
发明人： Maximilian Nickel , Volker Tresp , Xueyan Jiang
IPC分类号： G06N7/00 , G06F17/18 , G06K9/00 , G06N99/00
CPC分类号： G06N7/00 , G06F17/18 , G06K9/00 , G06N20/00
摘要： A method is provided for calculating a relation indicator for a relation between entities based on an optimization procedure. The method combines the strong relational learning ability and the good scalability of the RESCAL model with the linear regression model, which may deal with observed patterns to model known relations. The method may be used to determine relations between objects, for instance entries in a database, such as a shopping platform, medical treatments, production processes, or in the context of the Internet of Things, in a fast and precise manner.

4. 发明申请

US20160300149A1 Calculating a Relation Indicator for a Relation Between Entities 审中-公开
标题翻译：计算实体之间关系的关系指标
公开(公告)号：US20160300149A1
公开(公告)日：2016-10-13
申请号：US14680232
申请日：2015-04-07
申请人： Maximilian Nickel , Volker Tresp , Xueyan Jiang
发明人： Maximilian Nickel , Volker Tresp , Xueyan Jiang
IPC分类号： G06N7/00 , G06F17/16
CPC分类号： G06N7/00 , G06F17/18 , G06K9/00 , G06N99/005
摘要： A method is provided for calculating a relation indicator for a relation between entities based on an optimization procedure. The method combines the strong relational learning ability and the good scalability of the RESCAL model with the linear regression model, which may deal with observed patterns to model known relations. The method may be used to determine relations between objects, for instance entries in a database, such as a shopping platform, medical treatments, production processes, or in the context of the Internet of Things, in a fast and precise manner.
摘要翻译：提供了一种基于优化过程来计算实体之间的关系的关系指标的方法。该方法将RESCAL模型的强关系学习能力和良好的可扩展性与线性回归模型相结合，可以处理观察到的模型以建立已知关系。该方法可以用于以快速和精确的方式确定对象之间的关系，例如数据库中的条目，例如购物平台，医疗处理，生产过程或物联网的上下文中。

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