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21.发明申请公开(公告)号：US20150088789A1
公开(公告)日：2015-03-26
申请号：US14032295
申请日：2013-09-20
Applicant: NEC Corporation
Inventor： Yosuke MOTOHASHI , Satoshi MORINAGA , Ryohei FUJIMAKI , Riki ETO
CPC classification number: G06N5/02 , G06N7/005 , G06N99/005
Abstract: A hierarchical latent structure setting unit 81 sets a hierarchical latent structure that is a structure in which latent variables are represented by a tree structure and components representing probability models are located at nodes of a lowest level of the tree structure. A variational probability computation unit 82 computes a variational probability of a path latent variable that is a latent variable included in a path linking a root node to a target node in the hierarchical latent structure. A component optimization unit 83 optimizes each of the components for the computed variational probability. A gating function optimization unit 84 optimizes a gating function model that is a model for determining a branch direction according to the multivariate data in a node of the hierarchical latent structure, based on the variational probability of the latent variable in the node.
Abstract translation: 分层潜在结构设置单元81设置作为其中潜变量由树结构表示的结构的分层潜在结构，并且表示概率模型的分量位于树结构的最底层的节点处。 变分概率计算单元82计算作为潜在变量的路径潜变量的变分概率，所述潜变量包括在将根节点链接到分层潜在结构中的目标节点的路径中。 分量优化单元83针对所计算的变分概率优化每个分量。 门控功能优化单元84基于节点中的潜在变量的变分概率来优化门控功能模型，门控功能模型是根据层级潜在结构的节点中的多变量数据确定分支方向的模型。
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22.发明申请INTERACTIVE VARIABLE SELECTION DEVICE, INTERACTIVE VARIABLE SELECTION METHOD, AND INTERACTIVE VARIABLE SELECTION PROGRAM 审中-公开互动可变选择装置，交互式可变选择方法和交互式可变选择程序公开(公告)号：US20140236869A1
公开(公告)日：2014-08-21
申请号：US14167020
申请日：2014-01-29
Applicant: NEC CORPORATION
Inventor： Ryohei FUJIMAKI , Satoshi MORINAGA , Ji LIU , Yoshinobu KAWAHARA
IPC: G06N5/00
CPC classification number: G06N20/00
Abstract: An optimality degree computation unit computes an optimality degree in the case where a first variable included in a variable set is a candidate for an addition variable, using an objective function. An addition threshold computation unit computes an addition threshold based on the computed optimality degree, the addition threshold being a threshold of the optimality degree and indicating a criterion for determining whether or not the first variable is to be set as the candidate for the addition variable. An objective function value computation unit computes an objective function value which is a difference between a value of the objective function computed using variables to be optimized and a value of the objective function computed using the variables to be optimized from which a second variable included in a nonzero variable set is excluded.
Abstract translation: 在使用目标函数的变量集中包含的第一变量为加法变量的候补的情况下，最优度计算单元计算最优度度。 相加阈值计算单元基于所计算的最优度来计算加法阈值，所述相加阈值是所述最优度的阈值，并且指示用于确定所述第一变量是否被设置为所述加法变量的候选的准则。 目标函数值计算单元计算目标函数值，该目标函数值是使用要优化的变量计算的目标函数的值与使用要优化的变量计算的目标函数的值之间的差值， 非零变量集被排除。
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公开(公告)号：US20220292535A1
公开(公告)日：2022-09-15
申请号：US17631960
申请日：2019-08-07
Applicant: NEC Corporation
Inventor： Tomohito ANDO , Shinji NAKADAI , Satoshi MORINAGA
Abstract: A negotiation candidate generation unit 82 generates a negotiation candidate of a receiving side for an assumed order from an ordering side and makes store the negotiation candidate in a negotiation candidate storage unit 81. A negotiation condition receiving unit 83 receives negotiation conditions from the ordering side. A negotiation candidate sending unit 84 sends a corresponding negotiation candidate stored in the negotiation candidate storage unit 81 to the ordering side in response to the received negotiation conditions. The negotiation candidate generation unit 82 includes a planning unit 85 which plans an order plan for execution conditions according to the assumed order from the ordering side, a utility calculation unit 86 which calculates a utility based on the order plan, and a negotiation candidate registration unit 87 which registers the execution conditions, which are a premise of the order plan, as the negotiation candidate in the negotiation candidate storage unit 81, corresponding to the utility calculated based on the order plan. The negotiation candidate sending unit 84 sends the negotiation candidate with the highest utility to the ordering side in priority.
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公开(公告)号：US20210101617A1
公开(公告)日：2021-04-08
申请号：US16499369
申请日：2017-03-30
Applicant: NEC Corporation
Inventor： Shinji NAKADAI , Satoshi MORINAGA
Abstract: The target setting unit 7 sets a target state of the self-driving vehicle 10. The planned route creating unit 3 creates a planned route of the self-driving vehicle 10 for realizing the target state. The transmission unit 6 transmits the planned route to another vehicle. The response receiving unit 9 receives, from another vehicle, a notification indicating agreement with the planned route or disagreement with the planned route as a response to the planned route. The traveling control unit 8 controls the self-driving vehicle 10 so as to cause the self-driving vehicle 10 to travel along the planned route when the response receiving unit 9 has received the notification indicating agreement with the planned route.
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Patent Agency Ranking
25.发明申请公开(公告)号：US20190180192A1
公开(公告)日：2019-06-13
申请号：US16323285
申请日：2016-08-18
Applicant: NEC Corporation
Inventor： Daniel Georg ANDRADE SILVA , Yotaro WATANABE , Satoshi MORINAGA , Kunihiko SADAMASA
IPC: G06N5/02 , G06F16/901 , G06N7/00
Abstract: An information processing system for learning new probabilistic rules even if only one training sample is given. A learning system (100) includes a KB (knowledge base) storage (110), a rule generator (130), and a weight calculator (140). The KB storage (110) stores a KB including a knowledge storage for storing rules between events among a plurality of events. The rule generator (130) generates one or more new rules based on the rules and an implication score between the events. The weight calculator (140) calculates a weight of the one or more new rules for probabilistic reasoning based on the implication score.
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26.发明申请公开(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.
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公开(公告)号：US20170206560A1
公开(公告)日：2017-07-20
申请号：US15326273
申请日：2015-06-26
Applicant: NEC Corporation
Inventor： Yukitaka KUSUMURA , Hironori MIZUGUCHI , Ryohei FUJIMAKI , Satoshi MORINAGA
IPC: G06Q30/02
CPC classification number: G06Q30/0264 , G06Q30/02 , G06Q30/0202 , G06Q30/0242
Abstract: A prediction data input unit 91 inputs prediction data that is one or more explanatory variables that are information likely to affect future sales. An exposure pattern generation unit 92 generates an exposure pattern which is an explanatory variable indicating the content of a commercial message scheduled to be performed during a period from predicted time to future prediction target time. A component determination unit 93 determines the component used for predicting the sales, on the basis of a hierarchical latent structure that is a structure in which latent variables are represented by a tree structure and components representing probability models are located at nodes of a lowest level of the tree structure, gating functions for determining a branch direction in the nodes of the hierarchical latent structure, and the prediction data and the exposure pattern. A sales prediction unit 94 predicts the sales on the basis of the component determined by the component determination unit 93 and of the prediction data and the exposure pattern.
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公开(公告)号：US20170032017A1
公开(公告)日：2017-02-02
申请号：US13977186
申请日：2012-12-21
Applicant: NEC CORPORATION
Inventor： Satoshi MORINAGA , Yoshinobu KAWAHARA , Takayuki ITOH , Yunzhu ZHENG , Haruka SUEMATSU
IPC: G06F17/30
CPC classification number: G06F16/285 , G06F16/248 , G06F16/26 , G06F16/283 , G06K9/6247
Abstract: A multidimensional data visualization apparatus capable of visualizing a data distribution in an input space of high-dimensional data so as to enable understanding of relationships between input dimensions is provided. Low-dimensional parallel coordinates plot creation element 71 creates, from input multidimensional data, a plurality of low-dimensional parallel coordinates plots that are each a graph in which data relating to part of dimensions in the multidimensional data is represented by a parallel coordinates plot. Feature value computation element 72 computes, for each pair of low-dimensional parallel coordinates plots, a feature value indicating a relationship between the low-dimensional parallel coordinates plots forming the pair. Coordinate computation element 73 computes coordinates at which each low-dimensional parallel coordinates plot is arranged, based on the feature value computed by the feature value computation element 72.
Abstract translation: 提供了能够在高维数据的输入空间中可视化数据分布以便能够理解输入尺寸之间的关系的多维数据可视化装置。 低维平行坐标绘图创建元件71从输入多维数据创建多个低维平行坐标图，其各自是图形，其中与多维数据中的维度的一部分相关的数据由平行坐标图表示。 特征值计算元件72针对每对低维平行坐标图计算指示形成该对的低维平行坐标图之间的关系的特征值。 坐标运算单元73基于由特征量计算单元72计算出的特征量，计算各维度平行坐标绘图的坐标。
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29.发明申请Shipment-Volume Prediction Device, Shipment-Volume Prediction Method, Recording Medium, and Shipment-Volume Prediction System 审中-公开装运量预测装置，装运量预测方法，记录介质和装运量预测系统公开(公告)号：US20160232637A1
公开(公告)日：2016-08-11
申请号：US15021065
申请日：2014-08-21
Applicant: NEC CORPORATION
Inventor： Yosuke MOTOHASHI , Satoshi MORINAGA , Koutarou OCHIAI , Norihito GOTO
Abstract: This invention discloses a shipment-volume prediction device that predicts the shipment volumes of products at a new store. A classification unit (90) classifies a plurality of existing stores into a plurality of clusters. On the basis of information regarding the new store, a cluster estimation unit (91) estimates which cluster the new store will belong to. A shipment-volume prediction unit (92) estimates the shipment volumes of products at the new store by computing predicted shipment volumes for said products at existing stores that belong to the same cluster as the new store.
Abstract translation: 本发明公开了一种装运量预测装置，其预测新商店的产品的装运量。 分类单元（90）将多个现有存储分类为多个簇。 基于关于新商店的信息，群集估计单元（91）估计新商店将属于哪个群集。 出货量预测单元（92）通过计算属于与新商店相同的集群的现有存储处的所述产品的预计出货量来估计新商店的产品的出货量。
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