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    ANALYZING HEALTH EVENTS USING RECURRENT NEURAL NETWORKS
    12.
    发明申请
    ANALYZING HEALTH EVENTS USING RECURRENT NEURAL NETWORKS 审中-公开

    公开(公告)号：US20170316313A1

    公开(公告)日：2017-11-02

    申请号：US15595644

    申请日：2017-05-15

    Applicant: Google Inc.

    Inventor： Gregory Sean Corrado ,  Jeffrey Adgate Dean

    IPC: G06N3/08 ,  G06N3/04 ,  G06F19/00 ,  G06N3/02 ,  G06N3/10

    CPC classification number: G06N3/08 ,  G06N3/02 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/049 ,  G06N3/084 ,  G06N3/10 ,  G16H50/20 ,  G16H50/30

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using recurrent neural networks to analyze health events. One of the methods includes: processing each of a plurality of initial temporal sequences of health events to generate, for each of the initial temporal sequences, a respective network internal state of a recurrent neural network for each time step in the initial temporal sequence; storing, for each of the initial temporal sequences, one or more of the network internal states for the time steps in the temporal sequence in a repository; obtaining a first temporal sequence; processing the first temporal sequence using the recurrent neural network to generate a sequence internal state for the first temporal sequence; and selecting one or more initial temporal sequences that are likely to include health events that are predictive of future health events in the first temporal sequence.

    ANALYZING HEALTH EVENTS USING RECURRENT NEURAL NETWORKS
    15.
    发明申请
    ANALYZING HEALTH EVENTS USING RECURRENT NEURAL NETWORKS 有权
    使用重复的神经网络分析健康事件

    公开(公告)号：US20170032243A1

    公开(公告)日：2017-02-02

    申请号：US14810384

    申请日：2015-07-27

    Applicant: Google Inc.

    Inventor： Gregory Sean Corrado ,  Jeffrey Adgate Dean

    IPC: G06N3/08 ,  G06N3/10 ,  G06N3/04

    CPC classification number: G06N3/08 ,  G06F19/00 ,  G06N3/02 ,  G06N3/04 ,  G06N3/049 ,  G06N3/10 ,  G16H50/20 ,  G16H50/30

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using recurrent neural networks to analyze health events. One of the methods includes: processing each of a plurality of initial temporal sequences of health events to generate, for each of the initial temporal sequences, a respective network internal state of a recurrent neural network for each time step in the initial temporal sequence; storing, for each of the initial temporal sequences, one or more of the network internal states for the time steps in the temporal sequence in a repository; obtaining a first temporal sequence; processing the first temporal sequence using the recurrent neural network to generate a sequence internal state for the first temporal sequence; and selecting one or more initial temporal sequences that are likely to include health events that are predictive of future health events in the first temporal sequence.

    Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于使用循环神经网络来分析健康事件。 所述方法之一包括：处理健康事件的多个初始时间序列中的每一个，以针对每个初始时间序列，为初始时间序列中的每个时间步骤生成循环神经网络的相应网络内部状态; 对于每个初始时间序列，存储在存储库中的时间序列中的时间步长的一个或多个网络内部状态; 获得第一时间序列; 使用所述循环神经网络处理所述第一时间序列以生成所述第一时间序列的序列内部状态; 以及选择可能包括在第一时间序列中预测未来健康事件的健康事件的一个或多个初始时间序列。

    Method and system for deleting obsolete files from a file system
    16.
    发明授权
    Method and system for deleting obsolete files from a file system 有权
    从文件系统中删除过时文件的方法和系统

    公开(公告)号：US09449006B2

    公开(公告)日：2016-09-20

    申请号：US13909021

    申请日：2013-06-03

    Applicant: Google Inc.

    Inventor： Yasushi Saito ,  Sanjay Ghemawat ,  Jeffrey Adgate Dean

    IPC: G06F17/30

    CPC classification number: G06F17/30117 ,  G06F17/3007 ,  G06F17/30156 ,  G06F17/30194 ,  G06F17/30303

    Abstract: A method for deleting obsolete files from a file system is provided. The method includes: receiving a request to delete a reference to a target file in a file system from a file reference data structure, wherein the file reference data structure includes target file names and reference file names; identifying a reference file name in the file reference data structure, wherein the reference file name includes a file name of the target file; deleting a reference file from the file system, wherein the reference file has the identified reference file name; checking whether the file system includes at least one reference file whose file name matches the file name of the target file; if there is no such reference file in the file system: deleting the target file from the file system; and deleting the file name of the target file from the file reference data structure.

    Abstract translation: 提供了从文件系统中删除过时文件的方法。 该方法包括：从文件参考数据结构接收删除对文件系统中的目标文件的引用的请求，其中文件参考数据结构包括目标文件名和参考文件名; 在所述文件参考数据结构中识别参考文件名，其中所述参考文件名包括所述目标文件的文件名; 从所述文件系统中删除参考文件，其中所述参考文件具有所识别的参考文件名; 检查文件系统是否包含至少一个文件名与目标文件的文件名匹配的引用文件; 如果文件系统中没有这样的引用文件：从文件系统中删除目标文件; 并从文件引用数据结构中删除目标文件的文件名。

    Methods and Apparatus For Serving Relevant Advertisements
    17.
    发明申请
    Methods and Apparatus For Serving Relevant Advertisements 有权
    用于提供相关广告的方法和设备

    公开(公告)号：US20160055530A1

    公开(公告)日：2016-02-25

    申请号：US14816205

    申请日：2015-08-03

    Applicant: Google Inc.

    Inventor： Jeffrey Adgate Dean ,  Georges Harik ,  Paul Buchheit

    IPC: G06Q30/02

    CPC classification number: G06Q30/0256 ,  G06F17/30705 ,  G06F17/30864 ,  G06Q30/02 ,  G06Q30/0242 ,  G06Q30/0251 ,  G06Q30/0263 ,  Y10S707/944

    Abstract: The relevance of advertisements to a user's interests is improved. In one implementation, the content of a web page is analyzed to determine a list of one or more topics associated with that web page. An advertisement is considered to be relevant to that web page if it is associated with keywords belonging to the list of one or more topics. One or more of these relevant advertisements may be provided for rendering in conjunction with the web page or related web pages.

    Abstract translation: 广告与用户兴趣的相关性得到改善。 在一个实现中，分析网页的内容以确定与该网页相关联的一个或多个主题的列表。 如果广告与属于一个或多个主题列表的关键字相关联，则该广告被认为与该网页相关。 可以提供这些相关广告中的一个或多个，以便与网页或相关网页一起呈现。

    Label Consistency for Image Analysis
    18.
    发明申请
    Label Consistency for Image Analysis 有权
    图像分析的标签一致性

    公开(公告)号：US20150178596A1

    公开(公告)日：2015-06-25

    申请号：US14135816

    申请日：2013-12-20

    Applicant: Google Inc.

    Inventor： Samy Bengio ,  Jeffrey Adgate Dean ,  Quoc Le ,  Jonathon Shlens ,  Yoram Singer

    IPC: G06K9/62 ,  G06K9/72 ,  G06K9/66

    CPC classification number: G06K9/723 ,  G06K9/00677 ,  G06K9/6212 ,  G06K9/72 ,  G06K2009/6213 ,  G06N7/005 ,  G06N99/005

    Abstract: Systems and techniques are disclosed for labeling objects within an image. The objects may be labeled by selecting an option from a plurality of options such that each option is a potential label for the object. An option may have an option score associated with. Additionally, a relation score may be calculated for a first option and a second option corresponding to a second object in an image. The relation score may be based on a frequency, probability, or observance corresponding to the co-occurrence of text associated with the first option and the second option in a text corpus such as the World Wide Web. An option may be selected as a label for an object based on a global score calculated based at least on an option score and relation score associated with the option.

    Abstract translation: 公开了用于标记图像内的对象的系统和技术。 可以通过从多个选项中选择选项来标记对象，使得每个选项是对象的潜在标签。 选项可能具有与之相关联的选项分数。 另外，可以针对与图像中的第二对象相对应的第一选项和第二选项来计算关系得分。 关系得分可以基于与诸如万维网的文本语料库中与第一选项和第二选项相关联的文本的共现对应的频率，概率或符号。 可以基于至少基于与选项相关联的期权分数和关系分数计算的全局分数来选择对象的标签作为标签。

    METHOD AND SYSTEM FOR DELETING OBSOLETE FILES FROM A FILE SYSTEM
    19.
    发明申请
    METHOD AND SYSTEM FOR DELETING OBSOLETE FILES FROM A FILE SYSTEM 有权
    从文件系统中删除OBSOLETE文件的方法和系统

    公开(公告)号：US20130339318A1

    公开(公告)日：2013-12-19

    申请号：US13909021

    申请日：2013-06-03

    Applicant: Google Inc.

    Inventor： Yasushi Saito ,  Sanjay Ghemawat ,  Jeffrey Adgate Dean

    IPC: G06F17/30

    CPC classification number: G06F17/30117 ,  G06F17/3007 ,  G06F17/30156 ,  G06F17/30194 ,  G06F17/30303

    Abstract: A method for deleting obsolete files from a file system is provided. The method includes: receiving a request to delete a reference to a target file in a file system from a file reference data structure, wherein the file reference data structure includes target file names and reference file names; identifying a reference file name in the file reference data structure, wherein the reference file name includes a file name of the target file; deleting a reference file from the file system, wherein the reference file has the identified reference file name; checking whether the file system includes at least one reference file whose file name matches the file name of the target file; if there is no such reference file in the file system: deleting the target file from the file system; and deleting the file name of the target file from the file reference data structure.

    Abstract translation: 提供了从文件系统中删除过时文件的方法。 该方法包括：从文件参考数据结构接收删除对文件系统中的目标文件的引用的请求，其中文件参考数据结构包括目标文件名和参考文件名; 在所述文件参考数据结构中识别参考文件名，其中所述参考文件名包括所述目标文件的文件名; 从所述文件系统中删除参考文件，其中所述参考文件具有所识别的参考文件名; 检查文件系统是否包含至少一个文件名与目标文件的文件名匹配的引用文件; 如果文件系统中没有这样的引用文件：从文件系统中删除目标文件; 并从文件引用数据结构中删除目标文件的文件名。

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