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1.发明申请INTEROPERABILITY OF TRANSFORMS UNDER A UNIFIED PLATFORM AND EXTENSIBLE TRANSFORMATION LIBRARY OF THOSE INTEROPERABLE TRANSFORMS 审中-公开互换平台下的变换器的互操作性和可互换变换的可扩展变换库
公开(公告)号：WO2017059014A1
公开(公告)日：2017-04-06
申请号：PCT/US2016/054341
申请日：2016-09-29
申请人： SKYTREE, INC.
发明人： ADITYA, Abhimanyu , GUPTA, Abhishek , GRAY, Alexander , SIMMONS, Bradley , GIBIANSKY, Maxsim , BALL, Nicholas , MEHTA, Sanjay , KIRSHNER, Sergey , GREGORY, Terison
CPC分类号： G06F8/51 , G06F8/34 , G06F17/30569
摘要： A system and method for facilitating interoperability of data transformations developed in different programming platforms under a unified platform including receiving a first transformation utilizing a first programming platform; receiving information about the first transformation; wrapping the first transformation; including the wrapped, first transformation in a transformation pipeline, the transformation pipeline including a second transformation that is wrapped, the second transformation utilizing a second programming platform different from the first programming platform; and executing the transformation pipeline including the wrapped, first transformation and the wrapped, second transformation in batch mode or real-time streaming mode.
摘要翻译： 一种用于促进在统一平台下在不同编程平台中开发的数据转换的互操作性的系统和方法，包括使用第一编程平台接收第一变换; 接收关于第一次转换的信息; 包装第一次转变; 包括在转换流水线中的包裹的第一变换，所述转换管线包括被包装的第二变换，所述第二转换利用与所述第一编程平台不同的第二编程平台; 并且在批处理模式或实时流模式中执行包括包装，第一变换和包装的第二转换的转换流水线。
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公开(公告)号：WO2017040852A1
公开(公告)日：2017-03-09
申请号：PCT/US2016/049995
申请日：2016-09-01
申请人： SKYTREE, INC.
IPC分类号： G06F17/10
CPC分类号： G06N7/005 , G06F17/30241 , G06F17/3087 , G06F17/5009
摘要： A system and method for predicting a user of interest's location including collecting geospatial data of a plurality of users, the plurality of users including a user of interest and other users; and generating a model for the user of interest's location based on the collected geospatial data using one or more weights associated with one or more criteria to account for data surrogacy.
摘要翻译： 一种用于预测感兴趣的用户的位置的系统和方法，包括收集多个用户的地理空间数据，所述多个用户包括感兴趣的用户和其他用户; 并且基于使用与一个或多个标准相关联的一个或多个权重以收集数据代理来收集的地理空间数据，为兴趣位置的用户生成模型。
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3.发明申请SYSTEM AND METHOD FOR USING MACHINE LEARNING TO GENERATE A MODEL FROM AUDITED DATA 审中-公开使用机器学习从审计数据生成模型的系统和方法
公开(公告)号：WO2016145089A1
公开(公告)日：2016-09-15
申请号：PCT/US2016/021577
申请日：2016-03-09
申请人： SKYTREE, INC.
发明人： GRAY, Alexander , KIRSHNER, Sergey
CPC分类号： G06N99/005 , G06Q40/08
摘要： A system and method for using machine learning to generate a model from audited data includes a plurality of data sources, a training server having a machine learning unit, and a prediction/scoring server having a machine learning model and a data repository. The training server is coupled to receive and process information from the plurality of the resources and store it in the data repository. The training server, in particular, the machine learning unit fuses the input data and ground truth data. The machine learning unit applies machine learning to the fused input data and ground truth data to create a model. The machine learning unit then provides the model to the prediction/scoring server for use in processing new data. The prediction/scoring server uses the model to process new data and provide or take actions prescribed by the model.
摘要翻译： 使用机器学习从经审计的数据生成模型的系统和方法包括多个数据源，具有机器学习单元的训练服务器以及具有机器学习模型和数据存储库的预测/评分服务器。 训练服务器被耦合以从多个资源接收和处理信息并将其存储在数据存储库中。 训练服务器，特别是机器学习单元使输入数据和地面实数数据融合。 机器学习单元将机器学习应用于融合输入数据和地面实数数据，以创建模型。 机器学习单元然后将模型提供给预测/评分服务器以用于处理新数据。 预测/评分服务器使用模型来处理新数据，并提供或采取模型规定的动作。
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