Patents by Inventor Rikiya Takahashi
Rikiya Takahashi 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).
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Patent number: 10380502Abstract: A calculation apparatus includes a feature vector acquisition unit for acquiring a feature vector that corresponds to each alternative of a plurality of choice sets; an absolute evaluation calculation unit for calculating an absolute evaluation vector that represents an absolute evaluation of alternatives independent of a combination of the plurality of alternatives; a relativized-matrix calculation unit for calculating a relativized matrix that represents relative evaluations of the plurality of alternatives in a choice set; and a relative evaluation calculation unit for calculating a relative evaluation vector that represents a relative evaluation of each alternative of the plurality of alternatives from a product of multiplying the relativized matrix by the absolute evaluation vector. The calculation apparatus can predict intransitive choices of a person who exhibits intransitive preferences.Type: GrantFiled: November 20, 2015Date of Patent: August 13, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventor: Rikiya Takahashi
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Patent number: 10121156Abstract: An analysis device including a substitution unit for substituting each event in an impulse-like event series with rectangular windows; a dividing unit for dividing the event series timewise at least at one transition point in the rectangular windows; a state vector generation unit for generating a state vector corresponding to the state of the rectangular windows in response to each of the divided time periods; and an analysis unit for performing Poisson regression using the state vectors corresponding to the time periods. A method comprising computer-executable steps is provided that substitutes each event in the inputted event series with rectangular windows; divides the event series timewise at least at one transition point in the rectangular pulses; generates a state vector corresponding to the state of the rectangular pulses in response to each of the divided time periods; and performs a Poisson regression using the state vectors corresponding to the time periods.Type: GrantFiled: November 19, 2013Date of Patent: November 6, 2018Assignee: International Business Machines CorporationInventor: Rikiya Takahashi
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Patent number: 9857775Abstract: A method applied to a computer that determines a situation of a system includes the steps of: receiving measurement data from each of a plurality of measurement targets in the system; computing a plurality of sets of anomaly values based on the measurement data and a predetermined computation algorithm according to a plurality of classifications corresponding to a plurality of properties of each measurement target; and determining the situation of the system based on the sets of anomaly values and a predetermined determination algorithm.Type: GrantFiled: December 15, 2011Date of Patent: January 2, 2018Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Karim Hamzaoui, Shohei Hido, Shoko Suzuki, Rikiya Takahashi, Sachiko Yoshihama
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Publication number: 20170046726Abstract: An information processing device which selects a set of items to be recommended for a user out of a set of items. The information processing device includes: (a) a selection unit which: (i) calculates priority which is high in the case of a high score of an item itself and low in the case of a high degree of similarity to another selected item with respect to each of the plurality of items, and (ii) selects a set of items out of the plurality of items on the basis of the priority; and (ii) an output unit which outputs each item included in the selected set of items as an item to be presented to the user.Type: ApplicationFiled: November 1, 2016Publication date: February 16, 2017Inventors: Hideyuki Mizuta, Rikiya Takahashi
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Publication number: 20160148120Abstract: A calculation apparatus includes a feature vector acquisition unit for acquiring a feature vector that corresponds to each alternative of a plurality of choice sets; an absolute evaluation calculation unit for calculating an absolute evaluation vector that represents an absolute evaluation of alternatives independent of a combination of the plurality of alternatives; a relativized-matrix calculation unit for calculating a relativized matrix that represents relative evaluations of the plurality of alternatives in a choice set; and a relative evaluation calculation unit for calculating a relative evaluation vector that represents a relative evaluation of each alternative of the plurality of alternatives from a product of multiplying the relativized matrix by the absolute evaluation vector. The calculation apparatus can predict intransitive choices of a person who exhibits intransitive preferences.Type: ApplicationFiled: November 20, 2015Publication date: May 26, 2016Inventor: RIKIYA TAKAHASHI
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Publication number: 20150339680Abstract: An analysis device including a substitution unit for substituting each event in an impulse-like event series with rectangular windows; a dividing unit for dividing the event series timewise at least at one transition point in the rectangular windows; a state vector generation unit for generating a state vector corresponding to the state of the rectangular windows in response to each of the divided time periods; and an analysis unit for performing Poisson regression using the state vectors corresponding to the time periods. A method comprising computer-executable steps is provided that substitutes each event in the inputted event series with rectangular windows; divides the event series timewise at least at one transition point in the rectangular pulses; generates a state vector corresponding to the state of the rectangular pulses in response to each of the divided time periods; and performs a Poisson regression using the state vectors corresponding to the time periods.Type: ApplicationFiled: November 19, 2013Publication date: November 26, 2015Inventor: Rikiya Takahashi
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Publication number: 20150294226Abstract: An information processing apparatus optimizes an action in a transition model in which a number of objects in each state transits according to the action. A cost constraint acquisition unit acquires multiple cost constraints including one that constrains a total cost of the action over at multiple timings and/or multiple states. A processing unit assumes action distribution in each state at each timing as a decision variable in an optimization problem and maximizes an objective function subtracting a term based on an error between an actual number of objects with the action in each state at each timing and an estimated number of objects in each state at each timing based on state transition by the transition model, from a total reward in a whole period, satisfying the multiple cost constraints. An output unit outputs the action distribution in each state at each timing that maximizes the objective function.Type: ApplicationFiled: June 24, 2015Publication date: October 15, 2015Inventors: Hideyuki Mizuta, Rikiya Takahashi, Takayuki Yoshizumi
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Publication number: 20150294350Abstract: An information processing apparatus that optimizes a policy in a transition model in which the number of targeted objects in each state transits according to the policy includes a cost constraint acquisition unit configured to acquire a cost constraint that constrains a total cost of the policy; a mass policy setting unit configured to set the number of objects targeted by a mass policy in each state, based on the predefined number of objects to belong to each state and a reach rate at which the mass policy reaches to an object, with respect to the mass policy collectively executed for the object in two or more states; and a processing unit configured to assume the reach rate of the mass policy as a variable of an optimization and maximize an objective function based on a total reward in a whole period while satisfying the cost constraint.Type: ApplicationFiled: June 24, 2015Publication date: October 15, 2015Inventors: Hideyuki Mizuta, Rikiya Takahashi, Takayuki Yoshizumi
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Publication number: 20150278735Abstract: An information processing apparatus optimizes an action in a transition model in which a number of objects in each state transits according to the action. A cost constraint acquisition unit acquires multiple cost constraints including one that constrains a total cost of the action over at multiple timings and/or multiple states. A processing unit assumes action distribution in each state at each timing as a decision variable in an optimization problem and maximizes an objective function subtracting a term based on an error between an actual number of objects with the action in each state at each timing and an estimated number of objects in each state at each timing based on state transition by the transition model, from a total reward in a whole period, satisfying the multiple cost constraints. An output unit outputs the action distribution in each state at each timing that maximizes the objective function.Type: ApplicationFiled: March 11, 2015Publication date: October 1, 2015Inventors: Hideyuki Mizuta, Rikiya Takahashi, Takayuki Yoshizumi
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Publication number: 20150278725Abstract: An information processing apparatus that optimizes a policy in a transition model in which the number of targeted objects in each state transits according to the policy includes a cost constraint acquisition unit configured to acquire a cost constraint that constrains a total cost of the policy; a mass policy setting unit configured to set the number of objects targeted by a mass policy in each state, based on the predefined number of objects to belong to each state and a reach rate at which the mass policy reaches to an object, with respect to the mass policy collectively executed for the object in two or more states; and a processing unit configured to assume the reach rate of the mass policy as a variable of an optimization and maximize an objective function based on a total reward in a whole period while satisfying the cost constraint.Type: ApplicationFiled: March 11, 2015Publication date: October 1, 2015Inventors: Hideyuki Mizuta, Rikiya Takahashi, Takayuki Yoshizumi
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Publication number: 20150149248Abstract: An information processing device which selects a set of items to be recommended for a user out of a set of items. The information processing device includes: (a) a selection unit which: (i) calculates priority which is high in the case of a high score of an item itself and low in the case of a high degree of similarity to another selected item with respect to each of the plurality of items, and (ii) selects a set of items out of the plurality of items on the basis of the priority; and (ii) an output unit which outputs each item included in the selected set of items as an item to be presented to the user.Type: ApplicationFiled: November 24, 2014Publication date: May 28, 2015Inventors: Hideyuki Mizuta, Rikiya Takahashi
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Patent number: 8805841Abstract: A method for clustering a plurality of data items stored in a computer includes calculating, with the computer, a plurality of components comprising kernels based on a distribution that gives similarity between the data items, wherein a non-negative mixture weight is assigned to each of the kernels; preparing a set of active components that are composed of subscripts of the mixture weights; applying operations to the set of active components; and determining whether the mixture weight has converged, and if not converged yet, reapplying the operations to the set of components, and if the mixture weight has converged, clustering the data items based on the mixture weight.Type: GrantFiled: October 12, 2011Date of Patent: August 12, 2014Assignee: International Business Machines CorporationInventor: Rikiya Takahashi
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Publication number: 20130282341Abstract: A method for estimating a probability density function of values in a link from a distribution of values associated with the link in graph data includes fitting, with a processor, according to the link, a basis function representing the distribution of values in the link; determining an importance scalar representing a weighting of values associated with the link on the basis of a plurality of basis functions corresponding to the link by optimizing a predetermined objective function; and providing the probability density function corresponding to the link by mixing the basis functions with the importance scalar so as to interpolate the basis functions between links similar to the link in the graph data.Type: ApplicationFiled: February 28, 2013Publication date: October 24, 2013Inventor: Rikiya Takahashi
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Publication number: 20130274899Abstract: A method applied to a computer that determines a situation of a system includes the steps of: receiving measurement data from each of a plurality of measurement targets in the system; computing a plurality of sets of anomaly values based on the measurement data and a predetermined computation algorithm according to a plurality of classifications corresponding to a plurality of properties of each measurement target; and determining the situation of the system based on the sets of anomaly values and a predetermined determination algorithm.Type: ApplicationFiled: December 15, 2011Publication date: October 17, 2013Applicant: International Business Machines CorporationInventors: Karim Hamzaoui, Shohei Hido, Shoko Suzuki, Rikiya Takahashi, Sachiko Yoshihama
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Patent number: 8405551Abstract: Location estimation systems, methods, and non-transitory computer program products. The system includes: storage means provided in the computer, means for storing the vector datasets in the storage means of the computer, means for calculating the similarity between the vector dataset without any location label and each neighboring vector dataset with a location label, by using any one of a q-norm where 0?q?1 and an exponential attenuation function, and means for estimating the location label of the vector data without any location label from the calculated similarities.Type: GrantFiled: February 10, 2012Date of Patent: March 26, 2013Assignee: International Business Machines CorporationInventors: Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Shoko Suzuki, Akira Tajima, Rikiya Takahashi, Toshihiro Takahashi, Yuta Tsuboi
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Publication number: 20120143814Abstract: Location estimation systems, methods, and non-transitory computer program products. The system includes: storage means provided in the computer, means for storing the vector datasets in the storage means of the computer, means for calculating the similarity between the vector dataset without any location label and each neighboring vector dataset with a location label, by using any one of a q-norm where 0?q?1 and an exponential attenuation function, and means for estimating the location label of the vector data without any location label from the calculated similarities.Type: ApplicationFiled: February 10, 2012Publication date: June 7, 2012Applicant: International Business Machines CorporationInventors: Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Shoko Suzuki, Akira Tajima, Rikiya Takahashi, Toshihiro Takahashi, Yuta Tsuboi
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Publication number: 20120109975Abstract: A method for clustering a plurality of data items stored in a computer includes calculating, with the computer, a plurality of components comprising kernels based on a distribution that gives similarity between the data items, wherein a non-negative mixture weight is assigned to each of the kernels; preparing a set of active components that are composed of subscripts of the mixture weights; applying operations to the set of active components; and determining whether the mixture weight has converged, and if not converged yet, reapplying the operations to the set of components, and if the mixture weight has converged, clustering the data items based on the mixture weight.Type: ApplicationFiled: October 12, 2011Publication date: May 3, 2012Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventor: Rikiya Takahashi
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Patent number: 8138974Abstract: A location estimation method using label propagation. The achieved location estimation method is robust to variations in radio signal strengths and is highly accurate by using the q-norm (0<q<1), especially, for calculating the similarities among radio signal strength vectors. The accuracy in location estimation is further improved by putting more importance on the time-series similarities. Specifically, the time-series similarity is calculated by using time-series values indicating the temporal order of radio signal strengths during the measurement. If the time-series similarity is larger than the similarity between the radio signal strength vectors, the time-series similarity is preferentially used. The exponential attenuation function can also be used for calculating the similarities, instead of the q norm (0<q<1).Type: GrantFiled: October 24, 2008Date of Patent: March 20, 2012Assignee: International Busines Machines CorporationInventors: Shohei Hido, Tsuyoshi Ide, Hisashi Kashima, Shoko Suzuki, Akira Tajima, Rikiya Takahashi, Toshihiro Takahashi, Yuta Tsuboi
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Patent number: 7846290Abstract: A method for manufacturing a friction plate in which a plurality of frictional material segments are adhered to a substantially annular core plate. The method previously registers the frictional material segments to adhesion positions, and presses the core plate to which adhesive agent is applied and the frictional segments to perform temporary adhesion. Further, an apparatus for manufacturing a friction plate in which a plurality of frictional material segments are adhered to a substantially annular core plate. The apparatus comprises a member for registering the frictional material segments while holding the frictional material segments in a state arranged in the adhesion positions.Type: GrantFiled: March 13, 2008Date of Patent: December 7, 2010Assignee: NSK-Warner K.K.Inventors: Satoru Anma, Rikiya Takahashi
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Patent number: D617846Type: GrantFiled: October 10, 2008Date of Patent: June 15, 2010Assignee: Kabushiki Kaisha Bandai (A.K.A. Bandai Co., Ltd.)Inventors: Shotaro Matsuno, Rikiya Takahashi