-
公开(公告)号:US20250131195A1
公开(公告)日:2025-04-24
申请号:US19001458
申请日:2024-12-25
Applicant: NEC Corporation
Inventor: Masako IMANISHI , Yousuke MOTOHASHI , Koichi TODO , Sawako UMEZU
IPC: G06F40/237 , G06F16/9032 , G06F40/174 , G06F40/211 , G06F40/247 , G06F40/268 , G06F40/289 , G06N3/02 , G06N3/08 , G06N5/00 , G06N5/01 , G06N5/022 , G06N5/025 , G06N20/00 , G06N20/20 , G10L13/033
Abstract: An information processing apparatus according to the present invention includes: an acceptance unit that accepts a process request to an operation system; a specifying unit that, based on the process request, specifies an operation task to be executed in the operation system; an extraction unit that performs text analysis on the process request and extracts an answer item corresponding to an input item required at execution of the operation task from the process request; and an execution unit that executes the operation task based on the answer item.
-
公开(公告)号:US20230177538A1
公开(公告)日:2023-06-08
申请号:US18012437
申请日:2020-06-30
Applicant: NEC Corporation
Inventor: Yousuke MOTOHASHI
IPC: G06Q30/0202 , G06Q30/0601
CPC classification number: G06Q30/0202 , G06Q30/0601
Abstract: A video providing system includes: a search query acquisition unit that obtains a search query; a video search unit that searches for a video corresponding to the search query from among a plurality of videos; and a value setting unit that sets a value of the searched video on the basis of a similarity degree between the searched video and the search query. According to such a video providing system, it is possible to properly set the value of the video by using the similarity degree between the video and the search query.
-
公开(公告)号:US20210192127A1
公开(公告)日:2021-06-24
申请号:US16761862
申请日:2018-11-02
Applicant: NEC CORPORATION
Inventor: Masako IMANISHI , Yousuke MOTOHASHI , Koichi TODO , Sawako UMEZU
IPC: G06F40/174 , G06F40/289 , G06F16/9032
Abstract: An information processing apparatus according to the present invention includes: an acceptance unit that accepts a process request to an operation system; a specifying unit that, based on the process request, specifies an operation task to be executed in the operation system; an extraction unit that performs text analysis on the process request and extracts an answer item corresponding to an input item required at execution of the operation task from the process request; and an execution unit that executes the operation task based on the answer item.
-
24.
公开(公告)号:US20210158380A1
公开(公告)日:2021-05-27
申请号:US16640839
申请日:2018-06-27
Applicant: NEC CORPORATION
Inventor: Takashi TOUKAIRIN , Yousuke MOTOHASHI , Keiji KANDA , Akira TANIMOTO
Abstract: A predicting data generation unit 91 generates, on the basis of a prediction day, predicting data having added thereto a value of an explanatory variable indicating whether the day corresponds to a date predetermined as a day on which cash transfer will take place. A prediction device 92 predicts cash demand by applying the predicting data to a learned model, the learned model having prediction formulae determined depending on a value of an explanatory variable. The prediction device 92, in accordance with the value of the explanatory variable included in the predicting data, selects a prediction formula for use in the prediction from among the plurality of prediction formulae indicated by the learned model, and applies the predicting data to the selected prediction formula to predict the cash demand.
-
公开(公告)号:US20210019653A1
公开(公告)日:2021-01-21
申请号:US16771472
申请日:2017-12-11
Applicant: NEC Corporation
Inventor: Ichirou AKIMOTO , Yousuke MOTOHASHI , Naoki SAWADA , Daisuke YOKOI , Masayuki IKEDA
Abstract: A failure analysis device 10 is provided with an identification unit 11 that discriminates whether a predetermined failure has occurred on the basis of a learning model for discriminating the presence or absence of an occurrence of the predetermined failure learned by using a cause attribute which is associated with a cause of the predetermined failure and on the basis of a value of the attribute, and that identifies the cause of the predetermined failure discriminated to have occurred and countermeasures therefor.
-
26.
公开(公告)号:US20180082185A1
公开(公告)日:2018-03-22
申请号:US15554237
申请日:2015-03-23
Applicant: NEC CORPORATION
Inventor: Akira TANIMOTO , Yousuke MOTOHASHI
Abstract: Predictive model evaluation means 81 evaluates closeness in property between a relearned predictive model and a pre-relearning predictive model. Predictive model updating means 82 updates the pre-relearning predictive model with the relearned predictive model, in the case where the closeness in property meets closeness prescribed by a predetermined condition. The predictive model evaluation means 81 evaluates closeness in prediction result or structural closeness, as the closeness in property of the predictive model.
-
公开(公告)号:US20180075360A1
公开(公告)日:2018-03-15
申请号:US15560085
申请日:2016-03-08
Applicant: NEC CORPORATION
Inventor: Akira TANIMOTO , Junpei KOMIYAMA , Yousuke MOTOHASHI , Ryohei FUJIMAKI , Yasuhiro SOGAWA
Abstract: An accuracy estimation unit 91 estimates accuracy of a predictive model using an accuracy estimating model that is learned using, as an explanatory variable, all or part of one or more contexts each indicating a feature value representing an operation status of the predictive model at a first point of interest that is a past point in time of interest a learning period of the predictive model, and a parameter used to learn the predictive model and, as a response variable, an accuracy index in a period after the first point of interest. The accuracy estimation unit 91 calculates the context at a second point of interest that is a point in time after the first point of interest, and applies the calculated context to the accuracy estimating model to estimate the accuracy from the second point of interest onward.
-
28.
公开(公告)号:US20180012128A1
公开(公告)日:2018-01-11
申请号:US15544309
申请日:2016-01-18
Applicant: NEC Corporation
Inventor: Yuki CHIBA , Yousuke MOTOHASHI , Ryohei FUJIMAKI , Satoshi MORINAGA
Abstract: An explanatory variable display means 81 extracts an explanatory variable used as a condition from a classification model classified by the condition for selecting a component used for prediction and displays the explanatory variable in association with any of dimensional axes of a multi-dimensional space in which a prediction value is displayed. A prediction value display means 82 specifies the component that corresponds to a position in the multi-dimensional space specified by each of the explanatory variables associated with the dimensional axis, and then, displays the prediction value calculated on the basis of the specified component, on the same position. A space display means 83 displays the multi-dimensional space that corresponds to the position in which the prediction value is displayed, in a mode that corresponds to the component used for calculating the prediction value.
-
-
-
-
-
-
-