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    • 1. 发明授权
    • System for estimating a distribution of message content categories in source data
    • 用于估计源数据中消息内容类别分布的系统
    • US09189538B2
    • 2015-11-17
    • US13445257
    • 2012-04-12
    • Gary KingDaniel HopkinsYing Lu
    • Gary KingDaniel HopkinsYing Lu
    • G06F17/30G06N99/00G06K9/62
    • G06F17/30705G06K9/6256G06K9/6277G06N99/005
    • A method of computerized content analysis that gives “approximately unbiased and statistically consistent estimates” of a distribution of elements of structured, unstructured, and partially structured source data among a set of categories. In one embodiment, this is done by analyzing a distribution of small set of individually-classified elements in a plurality of categories and then using the information determined from the analysis to extrapolate a distribution in a larger population set. This extrapolation is performed without constraining the distribution of the unlabeled elements to be equal to the distribution of labeled elements, nor constraining a content distribution of content of elements in the labeled set (e.g., a distribution of words used by elements in the labeled set) to be equal to a content distribution of elements in the unlabeled set. Not being constrained in these ways allows the estimation techniques described herein to provide distinct advantages over conventional aggregation techniques.
    • 一种计算机内容分析的方法,其给出了在一组类别中的结构化,非结构化和部分结构化的源数据的元素的分布的“大致无偏差和统计上一致的估计”。 在一个实施例中,这通过分析多个类别中的小组单独分类的元素的分布,然后使用从分析确定的信息来推断更大群体集合中的分布来完成。 执行该外推,而不限制未标记元素的分布等于标记元素的分布,也不限制标记集合中元素的内容分布(例如,标记集合中的元素使用的词的分布) 等于未标记集合中元素的内容分布。 不以这些方式被约束允许本文描述的估计技术提供与常规聚合技术相比的明显优点。
    • 2. 发明申请
    • System for estimating a distribution of message content categories in source data
    • 用于估计源数据中消息内容类别分布的系统
    • US20090030862A1
    • 2009-01-29
    • US12077534
    • 2008-03-19
    • Gary KingDaniel HopkinsYing Lu
    • Gary KingDaniel HopkinsYing Lu
    • G06F17/00G06N5/00
    • G06F17/30705G06K9/6256G06K9/6277G06N99/005
    • A method of computerized content analysis that gives “approximately unbiased and statistically consistent estimates” of a distribution of elements of structured, unstructured, and partially structured source data among a set of categories. In one embodiment, this is done by analyzing a distribution of small set of individually-classified elements in a plurality of categories and then using the information determined from the analysis to extrapolate a distribution in a larger population set. This extrapolation is performed without constraining the distribution of the unlabeled elements to be equal to the distribution of labeled elements, nor constraining a content distribution of content of elements in the labeled set (e.g., a distribution of words used by elements in the labeled set) to be equal to a content distribution of elements in the unlabeled set. Not being constrained in these ways allows the estimation techniques described herein to provide distinct advantages over conventional aggregation techniques.
    • 一种计算机内容分析的方法,其给出了在一组类别中的结构化,非结构化和部分结构化的源数据的元素的分布的“大致无偏差和统计上一致的估计”。 在一个实施例中,这通过分析多个类别中的小组单独分类的元素的分布,然后使用从分析确定的信息来推断更大群体集合中的分布来完成。 执行该外推,而不限制未标记元素的分布等于标记元素的分布,也不限制标记集合中元素的内容分布(例如,标记集合中的元素使用的词的分布) 等于未标记集合中元素的内容分布。 不以这些方式被约束允许本文描述的估计技术提供了与常规聚合技术相比的明显优点。
    • 3. 发明申请
    • Wall thickness data analyzer and method
    • 壁厚数据分析仪及方法
    • US20060052978A1
    • 2006-03-09
    • US11166649
    • 2005-06-27
    • Daniel Hopkins
    • Daniel Hopkins
    • G01B11/02G01B13/02
    • G01B17/02
    • A wall thickness data analyzer is disclosed. The wall thickness data analyzer may comprise a storage device that stores a plurality of thickness data for a plurality of locations on the component, wherein one or more thickness data measured at specified times are provided for each location. The wall thickness data analyzer may also comprise a processor operable to access the storage device and to perform the following: partitioning the plurality of thickness data into subsets that correspond to one or more portions of the component, and determining, for a first location associated with a first portion of the component, a first wear rate according to a statistical method selected based on the number of thickness data available for the first location.
    • 公开了一种壁厚数据分析仪。 壁厚数据分析器可以包括存储装置,其存储组件上的多个位置的多个厚度数据,其中为每个位置提供在指定时间测量的一个或多个厚度数据。 壁厚数据分析器还可以包括可操作以访问存储设备并执行以下操作的处理器:将多个厚度数据分割成与组件的一个或多个部分对应的子集,并且对于与组件的一个或多个部分相关联的第一位置, 组件的第一部分,根据可用于第一位置的厚度数据的数量选择的统计方法的第一磨损率。
    • 5. 发明申请
    • System and method for providing targeted advertisements in user requested multimedia content
    • 用于在用户请求的多媒体内容中提供目标广告的系统和方法
    • US20070100690A1
    • 2007-05-03
    • US11265964
    • 2005-11-02
    • Daniel Hopkins
    • Daniel Hopkins
    • G06Q30/00
    • G06Q30/02G06Q30/0271
    • A method and system is disclosed for providing targeted advertising material in multimedia content to a user device via the internet. This method includes operations of receiving a request for multimedia content from a user device via the internet, determining geo-location information about the user device, and retrieving the requested media content along with user demographic information. The content included user demographic information is combined with the geo-location information about the user device to provide a user profile. Then at least a first advertisement database is queried for advertising material matching one or more characteristics of the demographic information about the user and/or the user profile. If there is a matching advertisement found, the matching advertising material is retrieved from the first database, and inserted into the retrieved media content. The retrieved multimedia content, along with the matching advertising material, is then transmitted to the requesting user device over/through the internet.
    • 公开了一种通过互联网向用户设备提供多媒体内容中的有针对性的广告材料的方法和系统。 该方法包括经由因特网从用户设备接收对多媒体内容的请求的操作,确定关于用户设备的地理位置信息,以及与用户人口统计信息一起检索所请求的媒体内容。 包括用户人口统计信息的内容与关于用户设备的地理位置信息相结合以提供用户简档。 然后,查询至少一个第一广告数据库用于匹配关于用户和/或用户简档的人口统计信息的一个或多个特征的广告材料。 如果找到匹配的广告,则从第一数据库检索匹配的广告资料,并将其插入所检索的媒体内容。 检索到的多媒体内容以及匹配的广告资料然后通过/通过因特网发送到请求用户设备。
    • 9. 发明申请
    • SYSTEM FOR ESTIMATING A DISTRIBUTION OF MESSAGE CONTENT CATEGORIES IN SOURCE DATA
    • 估算消息来源信息内容类别的系统
    • US20120215784A1
    • 2012-08-23
    • US13445257
    • 2012-04-12
    • Gary KingDaniel HopkinsYing Lu
    • Gary KingDaniel HopkinsYing Lu
    • G06F17/30
    • G06F17/30705G06K9/6256G06K9/6277G06N99/005
    • A method of computerized content analysis that gives “approximately unbiased and statistically consistent estimates” of a distribution of elements of structured, unstructured, and partially structured source data among a set of categories. In one embodiment, this is done by analyzing a distribution of small set of individually-classified elements in a plurality of categories and then using the information determined from the analysis to extrapolate a distribution in a larger population set. This extrapolation is performed without constraining the distribution of the unlabeled elements to be equal to the distribution of labeled elements, nor constraining a content distribution of content of elements in the labeled set (e.g., a distribution of words used by elements in the labeled set) to be equal to a content distribution of elements in the unlabeled set. Not being constrained in these ways allows the estimation techniques described herein to provide distinct advantages over conventional aggregation techniques.
    • 一种计算机内容分析的方法,其给出了在一组类别中的结构化,非结构化和部分结构化的源数据的元素的分布的“大致无偏差和统计上一致的估计”。 在一个实施例中,这通过分析多个类别中的小组单独分类的元素的分布,然后使用从分析确定的信息来推断更大群体集合中的分布来完成。 执行该外推,而不限制未标记元素的分布等于标记元素的分布,也不限制标记集合中元素的内容分布(例如,标记集合中的元素使用的词的分布) 等于未标记集合中元素的内容分布。 不以这些方式被约束允许本文描述的估计技术提供与常规聚合技术相比的明显优点。
    • 10. 发明授权
    • System for estimating a distribution of message content categories in source data
    • 用于估计源数据中消息内容类别分布的系统
    • US08180717B2
    • 2012-05-15
    • US12077534
    • 2008-03-19
    • Gary KingDaniel HopkinsYing Lu
    • Gary KingDaniel HopkinsYing Lu
    • G06F17/00G06F17/21G06N5/00
    • G06F17/30705G06K9/6256G06K9/6277G06N99/005
    • A method of computerized content analysis that gives “approximately unbiased and statistically consistent estimates” of a distribution of elements of structured, unstructured, and partially structured source data among a set of categories. In one embodiment, this is done by analyzing a distribution of small set of individually-classified elements in a plurality of categories and then using the information determined from the analysis to extrapolate a distribution in a larger population set. This extrapolation is performed without constraining the distribution of the unlabeled elements to be equal to the distribution of labeled elements, nor constraining a content distribution of content of elements in the labeled set (e.g., a distribution of words used by elements in the labeled set) to be equal to a content distribution of elements in the unlabeled set. Not being constrained in these ways allows the estimation techniques described herein to provide distinct advantages over conventional aggregation techniques.
    • 一种计算机内容分析的方法,其给出了在一组类别中的结构化,非结构化和部分结构化的源数据的元素的分布的“大致无偏差和统计上一致的估计”。 在一个实施例中,这通过分析多个类别中的小组单独分类的元素的分布,然后使用从分析确定的信息来推断更大群体集合中的分布来完成。 执行该外推,而不限制未标记元素的分布等于标记元素的分布,也不限制标记集合中元素的内容分布(例如,标记集合中的元素使用的词的分布) 等于未标记集合中元素的内容分布。 不以这些方式被约束允许本文描述的估计技术提供与常规聚合技术相比的明显优点。