Patent ID: 11922165
Assignee: KABUSHIKI KAISHA TOSHIBA
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A parameter optimization method, comprising:
determining, as a low-dimensional search space, an R-dimensional affine subspace (R is an integer that is not less than 1 and less than D) that passes through a point represented by a predetermined parameter vector value in a D-dimensional space (D is an integer of 2 or more);
extracting, as extracted data, a set of pairs corresponding to one or more points at which similarity to a point included in the low-dimensional search space are equal to or more than a predetermined value, the one or more points being among one or more points in the D-dimensional space represented by one or more parameter vector values included in the observation data stored in the storage device;
proposing a parameter vector value representing a point at which a value of the objective function is to be observed next, based on the extracted data; and
observing the point to be observed next, based on the parameter vector value representing the point to be observed next.