-
公开(公告)号：US20080208788A1
公开(公告)日：2008-08-28
申请号：US11679430
申请日：2007-02-27
申请人： Srujana Merugu , Claudia Perlich , Saharon Rosset
发明人： Srujana Merugu , Claudia Perlich , Saharon Rosset
CPC分类号： G06Q30/0202 , G06Q30/02
摘要： A method (and system) of predicting an unobserved target variable includes building a graphical predictive model from domain knowledge, which takes advantage of conditional independence to facilitate inference about the unobserved target variable, given observations of other variables in the graphical predictive model from a plurality of information sources.
摘要翻译： 预测未观察目标变量的方法（和系统）包括从领域知识构建图形预测模型，其利用条件独立性来促进关于未观察到的目标变量的推论，给定来自多个图形预测模型中的其他变量的观测值 的信息来源。
-
2.发明申请公开(公告)号：US20110251877A1
公开(公告)日：2011-10-13
申请号：US12755836
申请日：2010-04-07
CPC分类号： G06Q10/06375 , G06Q10/0639 , G06Q30/012 , G06Q30/02
摘要： A model for impact analysis determines impact of part removal from a product. An entity is identifies that includes a plurality of sub-components. One or more performance measures associated with the entity are identified. One or more of the sub-components to be removed from the entity are identified. A substitution impact function is defined. Impact on said one or more performance measures is determined using the substitution impact function.
摘要翻译： 影响分析模型确定产品中零件清除的影响。 实体是包括多个子组件的标识。 识别与该实体相关联的一个或多个性能测量。 识别要从实体中移除的一个或多个子组件。 定义替代冲击函数。 使用替代影响函数确定对所述一个或多个性能度量的影响。
-
公开(公告)号：US09031888B2
公开(公告)日：2015-05-12
申请号：US13206981
申请日：2011-08-10
CPC分类号： G06N5/04 , G06N99/005 , G06Q10/10 , G06Q30/0201 , G06Q50/01
摘要： A method, system and computer program product are disclosed for predicting influence in a social network. In one embodiment, the method comprises identifying a set of users of the social network, and identifying a subset of the users as influential users based on defined criteria. A multitude of measures are identified as predictors of which ones of the set of users are the influential users. These measures are aggregated, and a composite predictor model is formed based on this aggregation. This composite predictor model is used to predict which ones of the set of users will have a specified influence in the social network in the future. In one embodiment, the specified influence is based on messages sent from the users, and for example, may be based on the number of the messages sent from each user that are re-sent by other users.
摘要翻译： 公开了用于预测社交网络中的影响的方法，系统和计算机程序产品。 在一个实施例中，该方法包括识别社交网络的一组用户，并且基于定义的标准将用户的子集识别为有影响力的用户。 许多措施被确定为一组用户中有哪些是有影响力的用户的预测因子。 这些度量被聚合，并且基于该聚合形成复合预测器模型。 这种复合预测模型用于预测未来在社交网络中哪一组用户将具有特定的影响。 在一个实施例中，指定的影响基于从用户发送的消息，并且例如可以基于由其他用户重新发送的每个用户发送的消息的数量。
-
公开(公告)号：US20130041860A1
公开(公告)日：2013-02-14
申请号：US13206981
申请日：2011-08-10
IPC分类号： G06N5/02
CPC分类号： G06N5/04 , G06N99/005 , G06Q10/10 , G06Q30/0201 , G06Q50/01
摘要： A method, system and computer program product are disclosed for predicting influence in a social network. In one embodiment, the method comprises identifying a set of users of the social network, and identifying a subset of the users as influential users based on defined criteria. A multitude of measures are identified as predictors of which ones of the set of users are the influential users. These measures are aggregated, and a composite predictor model is formed based on this aggregation. This composite predictor model is used to predict which ones of the set of users will have a specified influence in the social network in the future. In one embodiment, the specified influence is based on messages sent from the users, and for example, may be based on the number of the messages sent from each user that are re-sent by other users.
-
-
-
搜索结果
4 条记录 (耗时 0.015 秒)
