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公开(公告)号：US20190279037A1
公开(公告)日：2019-09-12
申请号：US16346579
申请日：2016-11-08
Applicant: NEC Corporation
Inventor： Akira TANIMOTO , Yousuke MOTOHASHI , Ryohei FUJIMAKI
Abstract: A multi-task relationship learning system 80 for simultaneously estimating a plurality of prediction models includes a learner 81 for optimizing the prediction models so as to minimize a function that includes a sum total of errors indicating consistency with data and a regularization term deriving sparsity relating to differences between the prediction models, to estimate the prediction models.
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12.发明申请公开(公告)号：US20190034945A1
公开(公告)日：2019-01-31
申请号：US16070956
申请日：2016-03-25
Applicant: NEC CORPORATION
Inventor： Yousuke MOTOHASHI , Keisuke UMEZU
Abstract: An information processing system 80 configured to predict a prediction target specified by a plurality of classifications using a prediction model including a variable that affects the prediction target, includes an accepting unit 81 and an aggregating unit 82. The accepting unit 81 accepts classifications that specify the prediction target. The aggregating unit 82 specifies the prediction target by the accepted classifications and aggregates, for each of the variables, a degree of contribution determined by the prediction model corresponding to that prediction target.
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公开(公告)号：US20180052441A1
公开(公告)日：2018-02-22
申请号：US15553629
申请日：2015-03-23
Applicant: NEC CORPORATION , NEC INFORMATEC SYSTEMS, LTD
Inventor： Akira TANIMOTO , Yousuke MOTOHASHI , Mamoru IGUCHI
IPC: G05B19/406 , G06N99/00
CPC classification number: G05B19/406 , G05B17/02 , G05B2219/2639 , G06N20/00 , G06Q10/063 , G06Q50/06
Abstract: Reception means 81 receives an estimator learned using measured data up to a point of time in the past, verification data that is measured data from the point of time onward, and an update rule prescribing whether or not the estimator needs to be updated based on an evaluation index. Simulation means 82 simulates at least one of the evaluation index of the estimator and an update result of the estimator in a predetermined period, based on the update rule and an estimation result calculated by applying the verification data of the predetermined period to the estimator in chronological order.
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公开(公告)号：US20180018797A1
公开(公告)日：2018-01-18
申请号：US15550251
申请日：2016-01-27
Applicant: NEC Corporation
Inventor： Yousuke MOTOHASHI , Rychei FUJIMAKI
CPC classification number: G06T11/206 , G06F7/023 , G06F7/026 , G06N5/045 , G06N7/005
Abstract: In an impact visualization system that enables visualization of impacts of explanatory variables used in a prediction formula, the prediction formula being expressed by a linear sum of functions of the explanatory variables, an explanatory variable display unit 81 displays the explanatory variables used in the prediction formula on one dimensional axis by allocating a predetermined width to a respective one of the explanatory variables. A function value display unit 82 sets values or segments of the explanatory variables in the widths allocated thereto, in accordance with possible values or segments of the respective explanatory variables, and plots values of the functions specified by the values or the segments that have been set, at corresponding positions in another dimensional axis direction.
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公开(公告)号：US20230008377A1
公开(公告)日：2023-01-12
申请号：US17778904
申请日：2019-12-04
Applicant: NEC Corporation
Inventor： Kan ARAI , Daisuke TOKUSHIMA , Yoshinori SAIDA , Hiroto ONISHI , Yousuke MOTOHASHI
IPC: G06Q10/06 , G06F3/0484
Abstract: An information processing device 1C mainly includes a segmentation unit 32C and a display control unit 33C. The segmentation unit 32C is configured to divide a similar job group, to which multiple workers engaged in a common or similar job belong, into multiple segments based on one or more attributes of the workers. The display control unit 33C is configured to display segment information, which is information regarding workers per segment, on the display device 4C.
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Patent Agency Ranking
16.发明申请公开(公告)号：US20180075630A1
公开(公告)日：2018-03-15
申请号：US15556490
申请日：2015-03-23
Applicant: NEC Corporation
Inventor： Akira TANIMOTO , Yousuke MOTOHASHI , Hiroki NAKATANI , Hiroshi KITAJIMA
CPC classification number: G06T11/206 , G06F3/0482 , G06N5/022 , G06N5/04 , G06N20/00 , G06Q10/04 , G06Q30/02 , G06Q30/0202
Abstract: A storage unit 81 stores information associating each of a plurality of prediction targets with a predictor-related index related to a predictor for predicting the prediction target. Scatter graph generation means 82 generates, based on the information stored in the storage unit 81, a scatter graph in which a symbol representing the prediction target of the predictor is located at a position determined by the predictor-related index in a coordinate space where the predictor-related index is defined as at least one dimension.
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17.发明申请公开(公告)号：US20180039901A1
公开(公告)日：2018-02-08
申请号：US15556201
申请日：2015-03-23
Applicant: NEC Corporation
Inventor： Akira TANIMOTO , Yousuke MOTOHASHI , Hiroki NAKATANI
Abstract: A predictor management system includes a storage unit 81 and update history management means 82. The storage unit 81 stores, in association with each of a plurality of prediction targets, an update history of a predictor corresponding to the prediction target. The update history management means 82 stores, in response to updating of a predictor, a prediction target of the predictor and an update time of the predictor in the storage unit 81 in association with each other.
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公开(公告)号：US20170337259A1
公开(公告)日：2017-11-23
申请号：US15528197
申请日：2015-08-26
Applicant: NEC Corporation
Inventor： Yousuke MOTOHASHI , Sayaka YAGI
IPC: G06F17/30
CPC classification number: G06F16/287 , G06F16/00 , G06F16/2246 , G06F16/2264 , G06F16/26
Abstract: A classification axis allocating means 81 is a visualizing device that visualizes a classification model in which classification conditions for classifying classification target data are represented in a hierarchical structure, and allocates classification axes to respective dimensional axes of a multidimensional space in accordance with priority levels of the classification axes to be used for the classification conditions. A region splitting means 82 splits the dimensional axes, based on types of the allocated classification axes, and allocates classification target data to respective regions on the multidimensional space to be split in accordance with the split dimensional axes. A display means 83 displays the classification target data allocated to the respective regions of the multidimensional space.
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19.发明申请公开(公告)号：US20170308825A1
公开(公告)日：2017-10-26
申请号：US15521275
申请日：2015-08-26
Applicant: NEC Corporation
Inventor： Yousuke MOTOHASHI , Sayaka YAGI
IPC: G06Q10/06
CPC classification number: G06Q10/063 , G06Q30/02
Abstract: Provided is an explanatory variable display priority order determination system that can determine a display priority order for explanatory variables provided for estimated value calculation and can display the explanatory variables. A display priority order determination means 73 determines the display priority order of the explanatory variables to be used in estimation of a value by an estimation formula on the basis of a residual as an estimation amount of an error between an estimated value by the estimation formula and a measured value. At this time, the display priority order determination means 73 determines the display priority order of the explanatory variables on the basis of magnitude of an influence of the explanatory variables on the residual. A display means 74 displays the explanatory variables according to the display priority order.
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20.发明申请公开(公告)号：US20170300346A1
公开(公告)日：2017-10-19
申请号：US15521265
申请日：2015-04-30
Applicant: NEC CORPORATION
Inventor： Yousuke MOTOHASHI
IPC: G06F9/44 , G06F3/0482 , G06N99/00 , G06T11/20
CPC classification number: G06F9/453 , G06F3/0482 , G06F8/38 , G06N20/00 , G06T11/206 , G06T2200/24
Abstract: An estimation results display system capable of displaying an estimation result so that persons can intuitively recognize at a glance which learning model is selected when deriving the estimation result is provided. Input means 2 receives input of information associating an estimation result and information indicating a learning model used when deriving the estimation result. Display means 3 displays a graph that represents the estimation result by a symbol and in which a type of the symbol is changed depending on the learning model corresponding to the estimation result.
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