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    LISTING OPTIMAL MACHINE INSTANCES
    23.
    发明申请
    LISTING OPTIMAL MACHINE INSTANCES 有权

    公开(公告)号：US20170153965A1

    公开(公告)日：2017-06-01

    申请号：US14953669

    申请日：2015-11-30

    Applicant: International Business Machines Corporation

    Inventor： Keisuke Nitta ,  Shoichiro Watanabe

    IPC: G06F11/36 ,  G06F17/30 ,  G06F9/455

    CPC classification number: G06F11/3664 ,  G06F8/10 ,  G06F8/20 ,  G06F8/24 ,  G06F9/455 ,  G06F9/45516 ,  G06F11/3656 ,  G06F17/3053 ,  G06F17/30601 ,  G06F2009/45591

    Abstract: A method for listing optimal machine instances in a computing environment based on user context is provided. The method includes receiving a task request based on a first task to be performed within the computing environment, identifying one or more similar tasks by comparing metadata for the first task to metadata for a plurality of other tasks based on a classification analysis, selecting the one or more similar tasks based on a result from the classification analysis exceeding a predetermined confidence level, and generating a list of one or more previous machine instances corresponding to the one or more similar tasks. The list of previous machine instances is associated with instructions to commence the previous machine instances. The plurality of other tasks include previous tasks performed within the computing environment on corresponding previous machine instances. The machine instances may include a virtual machine (VM) instance or a physical machine instance.

    MODIFICATION OF IMAGES AND ASSOCIATED TEXT
    24.
    发明申请
    MODIFICATION OF IMAGES AND ASSOCIATED TEXT 有权

    公开(公告)号：US20170091224A1

    公开(公告)日：2017-03-30

    申请号：US14868726

    申请日：2015-09-29

    Applicant: International Business Machines Corporation

    Inventor： Tomohiro Shioya ,  Masami Tada ,  Shoichiro Watanabe

    IPC: G06F17/30 ,  G06T11/60 ,  G06K9/46

    CPC classification number: G06F17/30268 ,  G06F17/30259 ,  G06F17/3028 ,  G06K9/00671 ,  G06T11/60

    Abstract: A computer-implemented method includes receiving an image. The image includes one or more objects and one or more text portions. The computer-implemented method further includes identifying the one or more objects. The computer-implemented method further includes, for each of the one or more objects identified, extracting an object tag. The computer-implemented method further includes, for each of the one or more text portions, extracting a text tag. The computer-implemented method further includes, for each text tag, determining whether the text tag describes any of the one or more objects based on the object tag extracted from each object to yield a determination. The computer-implemented method further includes, responsive to the determination: performing an image process to that of the one or more objects, and performing a text process to that of the one or more text portions. A corresponding computer program product and computer system are also disclosed.

    Geographic space management
    25.
    发明授权
    Geographic space management 有权
    地理空间管理

    公开(公告)号：US09578093B1

    公开(公告)日：2017-02-21

    申请号：US14970616

    申请日：2015-12-16

    Applicant: International Business Machines Corporation

    Inventor： Yasuhisa Gotoh ,  Yasutaka Nishimura ,  Takahito Tashiro ,  Shoichiro Watanabe

    IPC: G06F15/16 ,  H04L29/08 ,  H04L12/24 ,  G01C21/26

    CPC classification number: H04L67/1002 ,  G06F11/30 ,  G06Q10/0637 ,  H04L41/142 ,  H04L67/18

    Abstract: Geographic space may be managed by a system including a plurality of subsystems operable to respectively perform data processing, the data processing relating to traffic, of a plurality of regions, the plurality of regions obtained by dividing a geographic space including routes on which mobile objects move, and one or more servers collectively operable to obtain statistic information of at least one subsystem among the plurality of subsystems, the statistic information relating to a processing load of the at least one subsystem, and divide the geographic space into the plurality of regions based on the statistic information.

    Abstract translation: 地理空间可以由包括多个子系统的系统来管理，所述多个子系统可操作以分别执行数据处理，涉及多个区域的流量的数据处理，所述多个区域通过划分包含移动对象移动的路线的地理空间而获得 以及一个或多个服务器，其可共同操作以获得所述多个子系统中的至少一个子系统的统计信息，所述统计信息涉及所述至少一个子系统的处理负载，并且基于所述至少一个子系统的所述地理空间划分为所述多个区域 统计资料。

    Training federated learning models
    26.
    发明授权
    Training federated learning models 有权

    公开(公告)号：US12008075B2

    公开(公告)日：2024-06-11

    申请号：US17402764

    申请日：2021-08-16

    Applicant: International Business Machines Corporation

    Inventor： Shoichiro Watanabe ,  Kenichi Takasaki ,  Mari Abe Fukuda ,  Sanehiro Furuichi ,  Yasutaka Nishimura

    IPC: G06F18/214 ,  G06F17/18 ,  G06F18/21 ,  G06N3/08

    CPC classification number: G06F18/2148 ,  G06F17/18 ,  G06F18/217 ,  G06N3/08

    Abstract: A computer system trains a federated learning model. A federated learning model is distributed to a plurality of computing nodes, each having a set of local training data comprising labeled data samples. Statistical data is received from each computing node that indicates the node's count of data samples for each label, and is analyzed to identify one or more computing nodes having local training data in which a label category is underrepresented beyond a threshold value with respect to data samples. Additional data samples labeled with the underrepresented labels are provided, and the computing nodes perform training. Results of training are received and are processed to generate a trained global model. Embodiments of the present invention further include a method and program product for training a federated learning model in substantially the same manner described above.

    GEOSPATIAL DATA ACQUISITION BASED ON INFORMATION VALUE
    29.
    发明申请
    GEOSPATIAL DATA ACQUISITION BASED ON INFORMATION VALUE 有权

    公开(公告)号：US20210365497A1

    公开(公告)日：2021-11-25

    申请号：US16878660

    申请日：2020-05-20

    Applicant: International Business Machines Corporation

    Inventor： Sanehiro Furuichi ,  Shoichiro Watanabe ,  Kenichi Takasaki ,  Yasutaka Nishimura

    IPC: G06F16/909 ,  G06F16/9035 ,  G06F9/54

    Abstract: Described are techniques for acquiring geospatial data according to an information value. The techniques including determining a context for geospatial data to be used in an application, where the context is based on one or more external factors that influence variation of the geospatial data. The techniques further include calculating an information value of the geospatial data in the context for each of a plurality of information acquisition methods, where the plurality of information acquisition methods include respective data acquisition frequencies and respective spatial resolutions, and where the information value is based on an information loss function, an information amount, and a cost. The techniques further include selecting a first information acquisition method with a highest information value and acquiring the geospatial data using the first information acquisition method.

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