PATTERN RECOGNITION
    1.
    发明申请
    PATTERN RECOGNITION 审中-公开
    模式识别

    公开(公告)号:WO2012115662A1

    公开(公告)日:2012-08-30

    申请号:PCT/US2011/026722

    申请日:2011-03-01

    CPC classification number: G06N7/005 G16H10/60 G16H50/70

    Abstract: A method for pattern recognition performed by a physical computing system (100) includes, with the physical computing system (100), structuring data as a bi-partite graph (200), a set of instance nodes (214) within the graph (200) representing instances within the data and a set of property nodes (216) within the graph (200) representing properties of the instances, edges (218) between the instance nodes (214) and the property nodes (216) representing values of the properties, with the physical computing system (100), assigning a transition probability function (302, 402) to each of the instance nodes (214) and to each of the property nodes (216), and with the physical computing system (100), applying a random walker to the graph (200), the random walker utilizing the transition probability functions (302, 402).

    Abstract translation: 由物理计算系统(100)执行的用于模式识别的方法包括与所述物理计算系统(100)一起构造数据作为双分图(200),所述图(200)内的一组实例节点(214) )表示所述数据内的实例,以及所述图表(200)内的表示所述实例的属性的一组属性节点(216),所述实例节点(214)和所述属性节点(216)之间的边(218)表示所述属性的值 通过物理计算系统(100),向每个实例节点(214)和每个属性节点(216)分配转移概率函数(302,402),并且与物理计算系统(100), 将随机游侠应用于图(200),利用转移概率函数(302,402)的随机游侠。

    ALIGNING ANNOTATION OF FIELDS OF DOCUMENTS
    2.
    发明申请
    ALIGNING ANNOTATION OF FIELDS OF DOCUMENTS 审中-公开
    按文件名称排列

    公开(公告)号:WO2013062550A1

    公开(公告)日:2013-05-02

    申请号:PCT/US2011/058043

    申请日:2011-10-27

    CPC classification number: G06F17/241 G06F17/3071

    Abstract: Methods and systems of aligning annotation of fields of documents are provided. Training information that includes first measurement information pertaining to features of each of a plurality of fields associated with training clusters for documents of a document type is accessed. A first training cluster is annotated with a first name and the second training cluster is annotated with a second name. An electronic classification model is generated based on the training information. Second measurement information for features of fields associated with new clusters of a new document is accessed. Each of the new clusters is automatically annotated based on the second measurement information using the classification model. For example, a first new cluster that has fields of the first field type is annotated with the first name and a second new cluster that has fields of the second field type is annotated with the second name.

    Abstract translation: 提供了文档领域对齐注释的方法和系统。 访问包括关于与文档类型的文档的训练集群相关联的多个字段中的每一个的特征的第一测量信息的训练信息。 第一个训练集群用一个名字注释,第二个训练集群用第二个名字注释。 基于培训信息生成电子分类模型。 访问与新文档的新集群相关联的字段的特征的第二测量信息。 基于使用分类模型的第二测量信息自动地对每个新的集群进行注释。 例如,具有第一字段类型的字段的第一个新集群用第一个名称注释,并且具有第二个字段类型的字段的第二个新集群用第二个名称注释。

    DETERMINING PREFERRED COMMUNICATION EXPLANATIONS USING RECORD-RELEVANCY TIERS
    4.
    发明申请
    DETERMINING PREFERRED COMMUNICATION EXPLANATIONS USING RECORD-RELEVANCY TIERS 审中-公开
    使用记录相关性来确定优选的通信解释

    公开(公告)号:WO2015094158A1

    公开(公告)日:2015-06-25

    申请号:PCT/US2013/075344

    申请日:2013-12-16

    Abstract: In one example of the disclosure, data indicative of a word or phrase communicated during a meeting including a plurality of participants is obtained. For each participant, records electronically accessible to the participant are identified, and each record is associated with a tier from a hierarchy of record-relevancy tiers. A set of explanations for the communication and associated scores is identified, including for each participant, beginning with a most relevant tier, searching the records accessible to the participant tier by tier until an explanation is identified, and assigning a score to the explanation according to the tier associated with the record in which the explanation is found. A preferred explanation for the communication is determined based upon the scores, and a display of the preferred explanation is caused.

    Abstract translation: 在本公开的一个示例中,获得指示在包括多个参与者的会议期间传送的单词或短语的数据。 对于每个参与者,识别参与者可电子访问的记录,并且每个记录与记录相关层级别的层相关联。 确定一组关于通信和相关分数的解释,包括对于每个参与者,从最相关的层次开始,按层次搜索参与者层次可访问的记录,直到识别出解释,并且根据 与找到解释的记录相关联的层。 基于分数确定通信的优选说明,并且引起优选说明的显示。

    ERROR DEVELOPER ASSOCIATION
    7.
    发明申请
    ERROR DEVELOPER ASSOCIATION 审中-公开
    错误的开发者协会

    公开(公告)号:WO2014120192A1

    公开(公告)日:2014-08-07

    申请号:PCT/US2013/024081

    申请日:2013-01-31

    CPC classification number: G06F11/3664 G06F8/70 G06F8/71 G06F11/366

    Abstract: Systems, methods, and machine-readable and executable instructions are provided for error developer association. Error developer association can include identifying a number of portions of the source code associated with a message, wherein the message is associated with an error. Error developer association can also include associating a developer with a portion of the source code of the number of portions of the source code. Error developer association can also include identifying a developer of the number of developers to resolve the error

    Abstract translation: 提供系统,方法和机器可读和可执行指令用于错误开发者关联。 错误开发者关联可以包括标识与消息相关联的源代码的多个部分,其中该消息与错误相关联。 错误开发者关联还可以包括将开发人员与源代码的部分数量的源代码的一部分相关联。 错误开发者关联还可以包括识别开发人员解决错误的开发人员

    DETERMINING SIMILARITY SCORES OF ANOMALIES
    8.
    发明申请
    DETERMINING SIMILARITY SCORES OF ANOMALIES 审中-公开
    确定异常的相似度

    公开(公告)号:WO2011155933A1

    公开(公告)日:2011-12-15

    申请号:PCT/US2010/038053

    申请日:2010-06-09

    CPC classification number: G06F17/30312 G06F8/77 G06F11/3616

    Abstract: A method and system comprise abstracting configuration items (CI) in at least a first anomaly and a second anomaly based on type of CI. Further, CIs are matched of a common type between the first and second anomalies based on a cost function. Additionally, a similarity score is computed for the first and second anomalies based, at least in part, on the cost function of the matched CI's and based on topology of the first and second anomalies.

    Abstract translation: 方法和系统包括基于CI的类型抽象至少第一异常中的配置项(CI)和第二异常。 此外,基于成本函数,CI在第一和第二异常之间与普通类型匹配。 另外,至少部分地基于匹配的CI的成本函数并且基于第一和第二异常的拓扑来计算第一和第二异常的相似性得分。

    GENERATING A FINGERPRINT REPRESENTING A RESPONSE OF AN APPLICATION TO A SIMULATION OF A FAULT OF AN EXTERNAL SERVICE
    9.
    发明申请
    GENERATING A FINGERPRINT REPRESENTING A RESPONSE OF AN APPLICATION TO A SIMULATION OF A FAULT OF AN EXTERNAL SERVICE 审中-公开
    产生指示用于模拟外部服务故障的应用程序的指纹

    公开(公告)号:WO2014204470A1

    公开(公告)日:2014-12-24

    申请号:PCT/US2013/046849

    申请日:2013-06-20

    CPC classification number: G06F11/3684 G06F11/261 G06F11/3688 G06F11/3692

    Abstract: Examples disclosed herein relate to generating a fingerprint representing a response of an application to a simulation of a fault of an external service. Examples include causing simulation of a fault of an external service in a simulation of the external service, and generating a testing application fingerprint representing a response of an application to the simulation of the fault of the external service during the testing of the application.

    Abstract translation: 本文公开的示例涉及生成表示应用程序对外部服务的故障的模拟的响应的指纹。 示例包括在外部服务的仿真中引起对外部服务的故障的模拟,以及在应用测试期间生成表示应用程序对外部服务的故障的模拟的响应的测试应用指纹。

    PRIORITIZING EVENT NOTICES UTILIZING PAST-PREFERENCE PAIRINGS
    10.
    发明申请
    PRIORITIZING EVENT NOTICES UTILIZING PAST-PREFERENCE PAIRINGS 审中-公开
    使用过去优先权的优先事件通知

    公开(公告)号:WO2014204442A1

    公开(公告)日:2014-12-24

    申请号:PCT/US2013/046295

    申请日:2013-06-18

    Abstract: In one example of the disclosure, event notices are received, with each notice indicative of degradation of a configuration item. Configuration item past-preference pairings are accessed. Each pairing includes a count of operator-exhibited preferences for event notices associated with a first configuration item relative to event notices associated with a second configuration item. A prioritized ordering of the received event notices is created utilizing the past-preference pairings.

    Abstract translation: 在本公开的一个示例中,接收到事件通知,其中每个通知指示配置项目的退化。 访问配置项过去偏好配对。 每个配对包括相对于与第二配置项相关联的事件通知的与第一配置项相关联的事件通知的操作者显示的偏好的计数。 接收的事件通知的优先排序是利用过去偏好配对来创建的。

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