公开(公告)号：US20250061336A1

公开(公告)日：2025-02-20

申请号：US18592012

申请日：2024-02-29

Applicant: KABUSHIKI KAISHA TOSHIBA ,  TOSHIBA ELECTRONIC DEVICES & STORAGE CORPORATION

Inventor： Masaaki TAKADA ,  Gen LI ,  Yasuhisa OOMURO ,  Kazuya KIKUCHI ,  Xueting WANG ,  Takumi ITO ,  Kozo KINOSHITA ,  Toshiki SHIBANO

IPC: G06N3/09

Abstract: According to an embodiment, an information processing apparatus includes a processing unit configured to: detect whether or not one or more conditions defining timings to perform learning of a regression model configured to predict one or more objective variables for a plurality of explanatory variables are satisfied; determine priorities of the plurality of explanatory variables according to a condition detected to be satisfied; and perform learning of the regression model by using an objective function and learning data, the objective function including a regularization term having a regularization strength changing according to the priorities.

公开(公告)号：US20230288915A1

公开(公告)日：2023-09-14

申请号：US17821607

申请日：2022-08-23

Applicant: KABUSHIKI KAISHA TOSHIBA

Inventor： Gen LI ,  Masaaki TAKADA ,  Myungsook KO

IPC: G05B19/4155

CPC classification number: G05B19/4155 ,  G05B2219/45031

Abstract: According to an embodiment, an information processing device includes one or more processors. The processors calculate a first degree of influence of a plurality of variables on output data, and a frequency at which the plurality of variables are selected as a variable influencing the output data, based on K first models. The K first models are models estimated using a plurality of pieces of input data including the plurality of variables. The plurality of input data are obtained in K periods. K is an integer of 2 or more. The first model receives input of the input data including the plurality of variables and outputs the output data. The processors output the first degree of influence and the frequency in association with each other.

公开(公告)号：US20220391777A1

公开(公告)日：2022-12-08

申请号：US17652123

申请日：2022-02-23

Applicant: KABUSHIKI KAISHA TOSHIBA

Inventor： Masaaki TAKADA ,  Gen LI

IPC: G06N20/20 ,  G06K9/62

Abstract: According to an embodiment, an information processing device includes processors. The processors receive input of a plurality of pieces of input data obtained during K time periods. K is an integer equal to or greater than two. The processors estimate K first models. Each of the K first models receives input of input data and outputs output data. Each of the K first models is estimated for each period of the K time periods, using a plurality of pieces of input data obtained during the each period. The processors estimate a second model that indicates a relationship between first time parameters related to times of the K time periods, and the K first models. The processors estimate a first model corresponding to a specified second time parameter, based on the estimated second model.

公开(公告)号：US20240311632A1

公开(公告)日：2024-09-19

申请号：US18457601

申请日：2023-08-29

Applicant: KABUSHIKI KAISHA TOSHIBA

Inventor： Takeichiro NISHIKAWA ,  Gen LI

IPC: G06N3/08

CPC classification number: G06N3/08

Abstract: According to an embodiment, an information processing device includes one or more hardware processors configured to: set an error function including one or more terms based on a plurality of weights according to features of a plurality of elements, the error function being a function used during learning of a machine learning model into which positions of a plurality of atoms included in an analysis target, and information indicating which of the plurality of elements the plurality of atoms are, are input, and that outputs a physical quantity of the analysis target; and learn the machine learning model using the error function.