Patents by Inventor Yusuke Muraoka

Yusuke Muraoka has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20200334246
    Abstract: A table acquiring means 181 acquires a first table including prediction targets and first geographic attributes, and a second table including second geographic attributes. A receiving means 182 receives geographic relationships and degrees of geographic relationships. A combination condition generating means 183 generates a combination condition for combining a record included in the first table with a record included in the second table so that the relationship between the value of a first geographic attribute and the value of a second geographic attribute satisfies the degree of geographic relationship.
    Type: Application
    Filed: June 12, 2018
    Publication date: October 22, 2020
    Inventors: Ting CHEN, Yukitaka KUSUMURA, Ryohei FUJIMAKI, Kazuyo NARITA, Masato ASAHARA, Yusuke MURAOKA
  • Publication number: 20200301921
    Abstract: A table acquiring means 381 acquires a first table including prediction objects and first attributes, and a second table including second attributes. A receiving means 382 receives a similarity function and condition for similarity used to calculate the similarity between the first attribute and the second attribute. A feature generating means 383 generates feature candidates able to affect a prediction object using a combination condition for combining a record in the first table including the value of a first attribute satisfying the condition with a record in the second table including the value of a second attribute satisfying the similarity calculated with the value of the first attribute and the value of the second attribute using the similarity function, and using a reduction method for a plurality of records in the second table and a reduction condition represented by the column to be aggregated. A feature selecting means 384 selects an optimum feature for the prediction from the feature candidates.
    Type: Application
    Filed: June 12, 2018
    Publication date: September 24, 2020
    Inventors: Ting CHEN, Yukitaka KUSUMURA, Ryohei FUJIMAKI, Kazuyo NARITA, Masato ASAHARA, Yusuke MURAOKA
  • Publication number: 20200057948
    Abstract: A feature design unit 81 designs, from relational data, a feature as a variable likely to affect an objective variable. A feature generating unit 82 generates the designed feature, from the relational data. A learning unit 83 learns a prediction model, on the basis of the generated feature.
    Type: Application
    Filed: October 5, 2017
    Publication date: February 20, 2020
    Applicant: NEC CORPORATION
    Inventors: Ryohei FUJIMAKI, Yukitaka KUSUMURA, Masato ASAHARA, Yusuke MURAOKA
  • Publication number: 20200042924
    Abstract: In a case where data including an input, first operation executed onto the input, and a first result obtained by the first operation is defined as validation data and data used in an evaluation target period is defined as test data, a density relation estimating unit 81 estimates a relationship between a density of a pair including an input of the validation data and the first operation onto the input and a density of the pair including an input of the test data and second operation to be executed onto the input. An expected result estimating unit 82 estimates a second result expected to be obtained by executing the second operation onto the input of the test data on the basis of the first result included in the validation data and the estimated relationship.
    Type: Application
    Filed: September 8, 2017
    Publication date: February 6, 2020
    Applicant: NEC CORPORATION
    Inventors: Yusuke MURAOKA, Ryohel FUJIMAKI
  • Publication number: 20200042872
    Abstract: A parameter estimation unit 81 estimates parameters of a neural network model that maximize the lower limit of a log marginal likelihood related to observation value data and hidden layer nodes. A variational probability estimation unit 82 estimates parameters of the variational probability of nodes that maximize the lower limit of the log marginal likelihood. A node deletion determination unit 83 determines nodes to be deleted on the basis of the variational probability of which the parameters have been estimated, and deletes nodes determined to correspond to the nodes to be deleted. A convergence determination unit 84 determines the convergence of the neural network model on the basis of the change in the variational probability.
    Type: Application
    Filed: August 16, 2017
    Publication date: February 6, 2020
    Applicant: NEC CORPORATION
    Inventors: Yusuke MURAOKA, Ryohei FUJIMAKI, Zhao SONG
  • Patent number: 10510005
    Abstract: The prediction function creation device according to the present invention for creating a prediction function to derive an objective variable by using a set of samples that include explanatory variables and an objective variable, the device includes: a clustering unit that clusters the respective samples by giving labels, and assigns weights to each label in accordance with patterns of missing values for the explanatory variables in labeled samples; a child model creation unit that makes portions of the training data partial training data on the basis of the weights, and determines an explanatory variable that constitutes the prediction function on the basis of patterns of missing values for the explanatory variables in the samples; and a mixture model creation unit that creates the prediction function with respect to each pattern of missing values by using the explanatory variable and the determined partial training data.
    Type: Grant
    Filed: June 6, 2014
    Date of Patent: December 17, 2019
    Assignee: NEC CORPORATION
    Inventors: Yusuke Muraoka, Yukitaka Kusumura, Hironori Mizuguchi, Dai Kusui
  • Patent number: 10402736
    Abstract: Facilitate the procedure of evaluating a predictor. This evaluation system comprises an input receiving unit via which elements constituting an evaluation index are specified and an evaluation-index calculation unit that calculates an evaluation-index value for a data set. The evaluation index comprises an element of a first type that evaluates the sample data, an element of a second type that applies weights to the sample data, and an element of a third type that performs a statistical process on a plurality of sample data based on information outputted by the element of the first type and the element of the second type. The evaluation-index calculation unit calculates the above-mentioned evaluation-index value based on the evaluation index comprising the elements received by the input receiving unit.
    Type: Grant
    Filed: March 3, 2015
    Date of Patent: September 3, 2019
    Assignee: NEC Corporation
    Inventor: Yusuke Muraoka
  • Publication number: 20190267864
    Abstract: There is provided a motor with improved durability by suppressing the generation of sludge and preventing the decline in function of a sliding bearing. A plurality of spacers 9a, 9b and 9c are provided so as to be stacked in an axial direction between a sliding bearing 8 and an end surface of a rotor 1, and a space 10 is constantly formed between an end surface of the sliding bearing 8 assembled to a shaft hole 5c of a bracket 5 and the spacer 9c facing the end surface.
    Type: Application
    Filed: January 10, 2019
    Publication date: August 29, 2019
    Inventor: Yusuke MURAOKA
  • Patent number: 10229520
    Abstract: Provided is a feature-value display system which can display a feature value of a node for accurate prediction of a state of the node in a graph structure or a network structure. The feature-value display system 1 displays the feature value of the current node, considering information generated on the basis of attribute information associated with the nodes adjacent to or closer to a current node in the graph structure or the network structure, as the feature value of the current node itself.
    Type: Grant
    Filed: June 3, 2015
    Date of Patent: March 12, 2019
    Assignee: NEC Corporation
    Inventors: Yusuke Muraoka, Ryohei Fujimaki
  • Patent number: 10228301
    Abstract: This invention provides a water-leakage state estimation system configured to estimate a state of a water leakage in a specific area of a water distribution network. A learning unit is configured to: receive labeled data, which is labeled so as to separate past flow rate data into abnormal values and normal values, and past environment state condition data; build a prediction model for predicting the normal values in the labeled data through learning; and determine a score parameter defining a length of a period involving data to be verified through learning as well. A water-leakage estimation unit is configured to: compare predicted flow rate data obtained by supplying current environment condition data into the prediction model and current flow rate data to produce error values; and calculate an average value of the error values in the period of a window width defined by the score parameter to estimate a water-leakage score representing a state of the water-leakage in the specific area.
    Type: Grant
    Filed: March 10, 2016
    Date of Patent: March 12, 2019
    Assignee: NEC Corporation
    Inventors: Yukitaka Kusumura, Sergey Tarasenko, Riki Eto, Yusuke Muraoka, Ryohei Fujimaki
  • Publication number: 20180267934
    Abstract: An information processing device according to the present invention includes: a problem generator that, based on a first optimization problem, a lower-dimensional expression that is an expression for approximating uncertain data for the first optimization problem at a lower dimension than a dimension of the uncertain data, and a first data region that is a region of the uncertain data, generates a second optimization problem into that the first optimization problem is transformed in such a way that the second optimization problem relates to the lower-dimensional expression, and a second data region into that the first data region is transformed; and a problem solver that computes an optimum solution to the second optimization problem by using the second data region.
    Type: Application
    Filed: September 7, 2016
    Publication date: September 20, 2018
    Applicant: NEC Corporation
    Inventors: Ryohei FUJIMAKI, Yusuke MURAOKA
  • Publication number: 20180268425
    Abstract: An information processing apparatus 100 includes: a reception unit 10 that receives analysis subjects and variables relating to the analysis subjects; and a graph generation unit 20 that specifies degrees of influence that the variables have on the analysis subjects with the degrees of influence divided into positive and negative, and generates a graph indicating the specified degrees of positive influence and the specified degrees of negative influence as distances between the variables and the analysis subjects.
    Type: Application
    Filed: August 9, 2016
    Publication date: September 20, 2018
    Inventors: Yusuke MURAOKA, Ryohei FUJIMAKI
  • Publication number: 20180136076
    Abstract: This invention provides a water-leakage state estimation system configured to estimate a state of a water leakage in a specific area of a water distribution network. A learning unit is configured to: receive labeled data, which is labeled so as to separate past flow rate data into abnormal values and normal values, and past environment state condition data; build a prediction model for predicting the normal values in the labeled data through learning; and determine a score parameter defining a length of a period involving data to be verified through learning as well. A water-leakage estimation unit is configured to: compare predicted flow rate data obtained by supplying current environment condition data into the prediction model and current flow rate data to produce error values; and calculate an average value of the error values in the period of a window width defined by the score parameter to estimate a water-leakage score representing a state of the water-leakage in the specific area.
    Type: Application
    Filed: March 10, 2016
    Publication date: May 17, 2018
    Inventors: Yukitaka KUSUMURA, Sergey TARASENKO, Riki ETO, Yusuke MURAOKA, Ryohei FUJIMAKI
  • Publication number: 20170213158
    Abstract: A feature calculation unit 81 calculates a feature that is likely to influence cancellation by a user based on a communication state log that indicates a communication state of a base station when the user has been engaged in communication or making a call. A learning device 82 learns a model representing a behavioral characteristic of the user by using the calculated feature as an explanatory variable. A prediction device 83 predicts the behavioral characteristic of the user using the feature generated from the communication state log and the model.
    Type: Application
    Filed: July 10, 2015
    Publication date: July 27, 2017
    Inventors: Yusuke MURAOKA, Ryohei FUJIMAKI, Ichirou AKIMOTO
  • Publication number: 20170148196
    Abstract: Provided is a feature-value display system which can display a feature value of a node for accurate prediction of a state of the node in a graph structure or a network structure. The feature-value display system 1 displays the feature value of the current node, considering information generated on the basis of attribute information associated with the nodes adjacent to or closer to a current node in the graph structure or the network structure, as the feature value of the current node itself.
    Type: Application
    Filed: June 3, 2015
    Publication date: May 25, 2017
    Applicant: NEC Corporation
    Inventors: Yusuke MURAOKA, Ryohei FUJIMAKI
  • Publication number: 20170140401
    Abstract: From learning data that expresses inter-node connection relationships that are expressed as a graph structure or a network structure, a vicinal node information acquisition unit 81 acquires edge information that indicates the connection relationship between one node and another node to which the one node connects. Using the acquired edge information and node feature information that indicates the features of the other node, a feature value calculation unit 82 calculates a feature value that is for the one node and that is to be used for prediction.
    Type: Application
    Filed: June 4, 2015
    Publication date: May 18, 2017
    Inventors: Yusuke MURAOKA, Ryohei FUJIMAKI
  • Patent number: 9600565
    Abstract: In an inverted list of each node in a taxonomy, among each node, an inverted list of the highest node is a list of integer values indicating an identifier of search subject data, and an inverted list of a node other than the highest node, in place of the identifier, is a list of integer values indicating a position in an inverted list corresponding to a node that is higher by one than the node. Furthermore, a list of integer values in an inverted list of each node is divided into two or more blocks, and a differential value between an integer value and an integer value directly before the integer value in the block is converted into a bit string of a variable length integer code.
    Type: Grant
    Filed: June 16, 2011
    Date of Patent: March 21, 2017
    Assignee: NEC CORPORATION
    Inventors: Yukitaka Kusumura, Hironori Mizuguchi, Dai Kusui, Yusuke Muraoka
  • Publication number: 20160371596
    Abstract: Facilitate the procedure of evaluating a predictor. This evaluation system comprises an input receiving unit via which elements constituting an evaluation index are specified and an evaluation-index calculation unit that calculates an evaluation-index value for a data set. The evaluation index comprises an element of a first type that evaluates the sample data, an element of a second type that applies weights to the sample data, and an element of a third type that performs a statistical process on a plurality of sample data based on information outputted by the element of the first type and the element of the second type. The evaluation-index calculation unit calculates the above-mentioned evaluation-index value based on the evaluation index comprising the elements received by the input receiving unit.
    Type: Application
    Filed: March 3, 2015
    Publication date: December 22, 2016
    Applicant: NEC Corporation
    Inventor: Yusuke MURAOKA
  • Patent number: 9519633
    Abstract: Provided are a word latent topic estimation device and a word latent topic estimation method which are capable of hierarchically performing processing and which are capable of rapidly estimating latent topics of a word while taking into consideration a mixed state of topics.
    Type: Grant
    Filed: July 9, 2013
    Date of Patent: December 13, 2016
    Assignee: NEC CORPORATION
    Inventors: Yukitaka Kusumura, Yusuke Muraoka, Hironori Mizuguchi, Dai Kusui
  • Patent number: 9489632
    Abstract: A model estimation device includes: a data input unit; a state number setting unit; an initialization unit which sets initial values of a variational probability of a latent variable, a parameter, and the type of each component; a latent variable variational probability computation unit which computes the variational probability of the latent variable so as to maximize a lower bound of a marginal model posterior probability; a component optimization unit which estimates an optimal type of each component and a parameter thereof so as to maximize the lower bound of the marginal model posterior probability separated for each component of the latent variable model; an optimality determination unit which determines whether or not to continue the maximization of the lower bound of the marginal model posterior probability; and a result output unit which outputs a result.
    Type: Grant
    Filed: October 29, 2013
    Date of Patent: November 8, 2016
    Assignee: NEC Corporation
    Inventors: Yusuke Muraoka, Ryohei Fujimaki