GRAPH INFORMATION CALCULATION APPARATUS, GRAPH INFORMATION CALCULATION METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM

    公开(公告)号:US20220318339A1

    公开(公告)日:2022-10-06

    申请号:US17708400

    申请日:2022-03-30

    Inventor: Takashi MARUYAMA

    Abstract: A graph information calculation apparatus according to the present disclosure includes: a memory storing instructions; and at least one processor configured to execute the instructions to: receive a graph as an input, calculate a neighborhood structure of a vertex constituting the graph, and calculate a first set having a vertex constituting the calculated neighborhood structure as an element; calculate a path having a vertex constituting the graph as an end point, and calculate a second set having a vertex constituting the calculated path as an element; and convert the first set and the second set into a vector.

    SYSTEM CONFIGURATION DERIVATION DEVICE, METHOD, AND PROGRAM

    公开(公告)号:US20210256004A1

    公开(公告)日:2021-08-19

    申请号:US16973974

    申请日:2019-04-08

    Abstract: Provided is a system configuration derivation device enabling, in constructing a system, a configuration of the system to be derived efficiently. An information extraction unit 82 extracts a set including pieces of predetermined information from a past search history for each change of a configuration requirement. A learning unit 83 uses a collection of the sets as learning data to learn a calculation method for calculating a score indicating the degree of appropriateness of a concretizing rule included in the set including the pieces of predetermined information. A search unit 86 repeats extracting the set including the pieces of predetermined information for each pair including a concretizing rule applicable to a configuration requirement of interest and an application part of the concretizing rule in the configuration requirement of interest, calculating a score for the set, and newly selecting a configuration requirement as a configuration requirement of interest based on the score.

    SYSTEM CONFIGURATION DERIVATION DEVICE AND SYSTEM CONFIGURATION DERIVATION METHOD

    公开(公告)号:US20210240448A1

    公开(公告)日:2021-08-05

    申请号:US17053627

    申请日:2019-04-08

    Abstract: A system configuration derivation device 90 includes a storage unit 91 that stores a concretization rule in which a method is specified for concretizing abstract configuration information by confirming an unconfirmed portion of the abstract configuration information, which is information indicating configuration of a system in which the unconfirmed portion is included, and a generation unit 92 that concretizes the abstract configuration information included in configuration requirements of the system using the concretization rule stored to generate system configuration information, which is information indicating the configuration of the system in which the unconfirmed portion is not included, on the basis of the configuration requirements.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE MEDIUM STORING PROGRAM

    公开(公告)号:US20220292162A1

    公开(公告)日:2022-09-15

    申请号:US17631969

    申请日:2019-08-09

    Abstract: To provide an information processing device capable of surely calculating, from at least one of the known value of a conditional probability and a mutual relation of conditional probabilities, the range of values that designated conditional probabilities can take. The information processing device (500) includes a converting unit (510) and a calculating unit (520). The converting unit (510) converts conditional probabilities, which are the calculation target of the range of values that can be taken, into real number variables. The calculating unit (520) calculates, using, as constraint conditions, the real number first-order formula group obtained by converting a first set of first-order formulas and a second set of first-order formulas, the range of values that the converted real number variables can take.

    EVALUATION METRIC VALUE COMPUTATION DEVICE AND EVALUATION METRIC VALUE COMPUTATION METHOD

    公开(公告)号:US20220067516A1

    公开(公告)日:2022-03-03

    申请号:US17402850

    申请日:2021-08-16

    Inventor: Takashi MARUYAMA

    Abstract: The evaluation metric value computation device 20 includes a computation unit 21 which computes one or more values of evaluation metrics in one or more ranges in which each of the evaluation metrics may be specified in a graph using a predetermined function corresponding to a type of each of the evaluation metrics, for each range, when the graph in which the evaluation metric is specified at least in part is input, and a selection unit 22 which selects one or more values corresponding to the range in which the evaluation metric is specified in the graph from among computed one or more values of evaluation metrics.

    ADAPTIVE LEARNING DEVICE OF DATA POSITIONAL RELATIONSHIP, ADAPTIVE LEARNING METHOD OF DATA POSITIONAL RELATIONSHIP, AND RECORDING MEDIUM STORING ADAPTIVE LEARNING PROGRAM OF DATA POSITIONAL RELATIONSHIP

    公开(公告)号:US20210241103A1

    公开(公告)日:2021-08-05

    申请号:US17152207

    申请日:2021-01-19

    Inventor: Takashi MARUYAMA

    Abstract: An adaptive learning device of data positional relationship includes: an arithmetic unit that calculates a parameter of a model having a mapping function of plotting a plurality of pieces of data in a Euclidean space, the parameter minimizing a triplet loss function to which a value of the model is input when a triplet set is given to the model; a determination unit that determines whether a group made up of the model having the parameter being calculated and the triplet set satisfies a predetermined conditional expression; and a first generation unit that generates a new triplet set to be targeted for an arithmetic operation by the arithmetic unit, by removing at least one triplet from the triplet set of the group determined not to satisfy the predetermined conditional expression, thereby enabling learning of the positional relationship between the pieces of data when any data set is given.

    PARAMETER VALUE ASSIGNMENT DEVICE AND METHOD

    公开(公告)号:US20210226915A1

    公开(公告)日:2021-07-22

    申请号:US17270570

    申请日:2019-07-23

    Abstract: A parameter value assignment device comprises: a memory storing instructions; and processors configured to execute the instructions to: input constraint information indicating constraints and parameter value information indicating parameter value conditions, as requirements related to value assignment to target parameters; decompose target parameters into unit blocks based on the requirements; decompose the constraints into constraints between the unit blocks based on a result of decomposition of the target parameters, and reorganize the constraints between the unit blocks; decompose the parameter value conditions into parameter value conditions for the unit blocks based on the result of decomposition of the target parameters into the unit blocks; and assign a value to each of the target parameters based on the result of decomposition of the target parameters into the unit blocks, the constraints between the unit blocks, and the parameter value conditions for the unit blocks.

    GRAPH CONVERSION DEVICE, GRAPH CONVERSION METHOD, AND GRAPH CONVERSION PROGRAM

    公开(公告)号:US20210118210A1

    公开(公告)日:2021-04-22

    申请号:US17072442

    申请日:2020-10-16

    Abstract: There are provided an attribute name conversion unit which converts an attribute name of an attribute of each of a vertex and a side constituting a first graph with an attribute into a side constituting a second graph with an attribute and an attribute of the side, the attribute being composed of a first predetermined number of types of elements arranged in a first predetermined order; an attribute value conversion unit which converts an attribute value of an attribute of each of a vertex and a side constituting the first graph with an attribute into a vertex constituting the second graph with an attribute and an attribute of the vertex, the attribute being composed of a second predetermined number of types of elements arranged in a second predetermined order; and a graph-with-attribute generation unit which generates the second graph with an attribute.

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