Patents by Inventor Satoru Fukayama

Satoru Fukayama 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).

  • System, method, and computer program for estimation of target value
    Patent number: 10614830
    Abstract: A system, method, and computer program for estimation of a target value, which can change the aggregation of estimation results based on the degrees of confidence, taking the nature of an input observation signal into consideration. An unknown observation signal is input to a plurality of regression models. A plurality of estimated values are respectively obtained by a plurality of regression models corresponding to the plurality of features of the unknown observation signal. A target value of the unknown observation signal is estimated by aggregation of the target values. The estimating section calculates weights to be added the estimation results output from the regression models, based on the degrees of confidence with respect to the inputs into the regression models. A target value of the unknown observation signal is estimated through the aggregation by calculating a weighted sum of the estimation results output from the regression models.
    Type: Grant
    Filed: January 13, 2017
    Date of Patent: April 7, 2020
    Assignee: NATIONAL INSTITUTE OF ADVANCED INDUSTRIAL SCIENCE AND TECHNOLOGY
    Inventors: Satoru Fukayama, Masataka Goto
  • SYSTEM, METHOD, AND COMPUTER PROGRAM FOR ESTIMATION OF TARGET VALUE
    Publication number: 20190027162
    Abstract: A system, method, and computer program for estimation of a target value, which can change the aggregation of estimation results based on the degrees of confidence, taking the nature of an input observation signal into consideration. An unknown observation signal is input to a plurality of regression models. A plurality of estimated values are respectively obtained by a plurality of regression models corresponding to the plurality of features of the unknown observation signal. A target value of the unknown observation signal is estimated by aggregation of the target values. The estimating section calculates weights to be added the estimation results output from the regression models, based on the degrees of confidence with respect to the inputs into the regression models. A target value of the unknown observation signal is estimated through the aggregation by calculating a weighted sum of the estimation results output from the regression models.
    Type: Application
    Filed: January 13, 2017
    Publication date: January 24, 2019
    Inventors: Satoru Fukayama, Masataka Goto