System and method for determining impression volumes of content items in a taxonomy hierarchy
    1.
    发明授权
    System and method for determining impression volumes of content items in a taxonomy hierarchy 有权
    用于确定分类层次结构中内容项的展示量的系统和方法

    公开(公告)号:US07921073B2

    公开(公告)日:2011-04-05

    申请号:US11696944

    申请日:2007-04-05

    CPC classification number: G06Q30/02

    Abstract: Described are a system and method for determining an event occurrence rate. A sample set of content items may be obtained. Each of the content items may be associated with at least one region in a hierarchical data structure. A first impression volume may be determined for the at least one region as a function of a number of impressions registered for the content items associated with the at least one region. A scale factor may be applied to the first impression volume to generate a second impression volume. The scale factor may be selected so that the second impression volume is within a predefined range of a third impression volume. A click-through-rate (CTR) may be estimated as a function of the second impression volume and a number of clicks on the content item.

    Abstract translation: 描述了用于确定事件发生率的系统和方法。 可以获得一组内容项目。 每个内容项可以与分层数据结构中的至少一个区域相关联。 可以根据针对与至少一个区域相关联的内容项登记的展示次数的函数来确定至少一个区域的第一印象量。 比例因子可以应用于第一印象量以产生第二印象量。 可以选择比例因子,使得第二印象量在第三印象体积的预定范围内。 点击率可以根据第二次展示次数和内容项目的点击次数进行估算。

    Field programmable device
    2.
    再颁专利
    Field programmable device 失效
    现场可编程设备

    公开(公告)号:USRE42264E1

    公开(公告)日:2011-03-29

    申请号:US12163983

    申请日:2008-06-27

    Applicant: Deepak Agarwal

    Inventor: Deepak Agarwal

    CPC classification number: G01R31/318519 G01R31/318516 H03K19/17764

    Abstract: A field programmable device is disclosed, including a plurality of logic blocks; a plurality of connections connecting the logic blocks; configuration circuitry for outputting configuration data for programming the field programmable device, the configuration circuitry providing at least one pair of outputs; and error detection circuitry for comparing the outputs to determine if there has been a configuration error.

    Abstract translation: 公开了一种现场可编程装置,包括多个逻辑块; 连接逻辑块的多个连接; 用于输出用于编程现场可编程设备的配置数据的配置电路,所述配置电路提供至少一对输出; 以及用于比较输出以确定是否存在配置错误的错误检测电路。

    Data entry system for an endoscopic examination
    6.
    发明申请
    Data entry system for an endoscopic examination 审中-公开
    数据录入系统进行内窥镜检查

    公开(公告)号:US20050075535A1

    公开(公告)日:2005-04-07

    申请号:US10846254

    申请日:2004-05-14

    Abstract: A method and system for capturing patient related data in an endoscopic system comprising an imaging node adapted to capture and display endoscopic images during the course of an endoscopic examination. The patient data capture system and method includes a display device that provides an interface to enable a user to enter data relating to a patient examined during the examination, including patient vital sign information at various phases of care relating to the endoscopic examination and, further including individual graphic controls for enabling entry of values relating to the patient's vitals information. The entered patients vitals information is associated with a timestamp. The patient vitals information and associated timestamps are stored in a database record associated with the patient. Further data capable of being entered into the system includes medications administered, Aldrete scores and intraprocedural assessments.

    Abstract translation: 一种用于在内窥镜系统中捕获患者相关数据的方法和系统,包括适于在内窥镜检查过程中捕获和显示内窥镜图像的成像节点。 患者数据采集系统和方法包括显示装置,其提供接口以使用户能够输入与在检查期间检查的患者相关的数据,包括与内窥镜检查有关的各个护理阶段的患者生命体征信息,并且还包括 个人图形控制,用于启用与患者生命信息有关的值。 输入的患者生命信息与时间戳相关联。 患者生命信息和相关联的时间戳存储在与患者相关联的数据库记录中。 能够进入系统的进一步数据包括施用的药物,Aldrete评分和体内评估。

    Method and apparatus for performing real time anomaly detection
    8.
    发明授权
    Method and apparatus for performing real time anomaly detection 有权
    用于执行实时异常检测的方法和装置

    公开(公告)号:US08713190B1

    公开(公告)日:2014-04-29

    申请号:US11518291

    申请日:2006-09-08

    CPC classification number: H04L41/142 H04L41/0631

    Abstract: A method and apparatus for anomaly detection in a data stream are disclosed. In one embodiment, the present method detects an anomalous condition in a data stream, by calculating at least one expected base event count for at least one event in the data stream for a time interval, obtaining an actual event count for the at least one event in the data stream, applying at least one shrinkage factor to the at least one expected base event count to obtain at least one actual estimated event count and detecting the anomalous condition in accordance with the actual event count and the at least one actual estimated event count.

    Abstract translation: 公开了一种数据流中异常检测的方法和装置。 在一个实施例中,本方法通过针对一段时间间隔的数据流中的至少一个事件计算至少一个预期基本事件计数来检测数据流中的异常状况,获得至少一个事件的实际事件计数 在所述数据流中,将至少一个收缩因子应用于所述至少一个预期基本事件计数,以获得至少一个实际估计事件计数,并根据实际事件计数和至少一个实际估计事件计数来检测异常状况 。

    SYSTEM AND METHOD FOR DETERMINING AN EVENT OCCURRENCE RATE
    9.
    发明申请
    SYSTEM AND METHOD FOR DETERMINING AN EVENT OCCURRENCE RATE 审中-公开
    用于确定事件发生率的系统和方法

    公开(公告)号:US20110153550A1

    公开(公告)日:2011-06-23

    申请号:US13034835

    申请日:2011-02-25

    CPC classification number: G06Q30/02

    Abstract: Described are a system and method for determined an event occurrence rate. A sample set of content items may be obtained. Each of the content items may be associated with at least one region in a hierarchical data structure. A first impression volume may be determined for the at least one region as a function of a number of impressions registered for the content items associated with the at least one region. A scale factor may be applied to the first impression volume to generate a second impression volume. The scale factor may be selected so that the second impression volume is within a predefined range of a third impression volume. A click-through-rate (CTR) may be estimated as a function of the second impression volume and a number of clicks on the content item.

    Abstract translation: 描述了用于确定事件发生率的系统和方法。 可以获得一组内容项目。 每个内容项可以与分层数据结构中的至少一个区域相关联。 可以根据针对与至少一个区域相关联的内容项登记的展示次数的函数来确定至少一个区域的第一印象量。 比例因子可以应用于第一印象量以产生第二印象量。 可以选择比例因子,使得第二印象量在第三印象体积的预定范围内。 点击率可以根据第二次展示次数和内容项目的点击次数进行估算。

    PREDICTIVE DISCRETE LATENT FACTOR MODELS FOR LARGE SCALE DYADIC DATA
    10.
    发明申请
    PREDICTIVE DISCRETE LATENT FACTOR MODELS FOR LARGE SCALE DYADIC DATA 有权
    用于大规模数字数据的预测离散因子模型

    公开(公告)号:US20090055139A1

    公开(公告)日:2009-02-26

    申请号:US11841093

    申请日:2007-08-20

    CPC classification number: G06Q30/02 G06Q10/04 G06Q30/0254

    Abstract: A method for predicting future responses from large sets of dyadic data includes measuring a dyadic response variable associated with a dyad from two different sets of data; measuring a vector of covariates that captures the characteristics of the dyad; determining one or more latent, unmeasured characteristics that are not determined by the vector of covariates and which induce local structures in a dyadic space defined by the two different sets of data; and modeling a predictive response of the measurements as a function of both the vector of covariates and the one or more latent characteristics, wherein modeling includes employing a combination of regression and matrix co-clustering techniques, and wherein the one or more latent characteristics provide a smoothing effect to the function that produces a more accurate and interpretable predictive model of the dyadic space that predicts future dyadic interaction based on the two different sets of data.

    Abstract translation: 用于预测来自大量二进制数据的未来响应的方法包括从两组不同的数据量测量与二元组相关联的二元响应变量; 测量捕获二元组特征的协变量向量; 确定一个或多个潜在的,未测量的特征,其不由协变量向量确定并且在由两组不同数据组定义的二元空间中诱导局部结构; 以及将所述测量的预测响应建模为协变量的向量和所述一个或多个潜在特征的函数,其中建模包括采用回归和矩阵共聚集技术的组合,并且其中所述一个或多个潜在特征提供 对功能的平滑效果,产生更准确和可解释的二元空间的预测模型,该预测模型基于两组不同的数据来预测未来的二元交互。

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