公开(公告)号：US20230196196A1

公开(公告)日：2023-06-22

申请号：US17994416

申请日：2022-11-28

Applicant: Fujitsu Limited ,  OSAKA UNIVERSITY

Inventor： Hirofumi SUZUKI ,  Keisuke GOTO ,  Hiroaki IWASHITA ,  Takuya TAKAGI ,  Kotaro OHORI ,  Satoshi HARA

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: An information processing device classifies a plurality of linear models, each of which includes one or more variables, into a plurality of groups in such a way that the linear models which include identical variables included in each of the plurality of linear models and which have identical coefficient encoding with respect to the variables are grouped in the same group, outputs a first question used in deciding degree of importance of each explanatory variable included in training data which is used in training of the plurality of linear models, and, decides on an explanatory variable about which a second question is to be asked, when a linear model in which the degree of importance is reflected is to be selected from the plurality of linear models, based on extent of decrease in number of target groups for selection according to an answer to the first question.

公开(公告)号：US20230196200A1

公开(公告)日：2023-06-22

申请号：US18070492

申请日：2022-11-29

Applicant: Fujitsu Limited ,  OSAKA UNIVERSITY

Inventor： Hirofumi SUZUKI ,  Keisuke GOTO ,  Hiroaki IWASHITA ,  Takuya TAKAGI ,  Kotaro OHORI ,  Satoshi HARA

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: A non-transitory computer-readable recording medium stores therein an information processing program that causes a computer to execute a process including, deciding on one or more variables, from among a plurality of variables, to be a target for a question regarding degree of importance, based on order of priority of the variables and estimated amount, the order of priority of the variables being determined based on a plurality of patterns indicating ranking of the plurality of variables, the estimated amount indicating possibility of a match with predetermined condition regarding each of the patterns, and updating the estimated amount based on an answer result of the question about the decided variable.

公开(公告)号：US20230306037A1

公开(公告)日：2023-09-28

申请号：US18326615

申请日：2023-05-31

Applicant: FUJITSU LIMITED

Inventor： Kento UEMURA ,  Yusuke KOYANAGI ,  Kotaro OHORI

IPC: G06F16/248 ,  G06F16/28

CPC classification number: G06F16/248 ,  G06F16/284

Abstract: A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute processing including: extracting, for a plurality of pieces of combination data each of which is a combination of a plurality of feature amounts that includes an invariable feature amount and a variable feature amount that represent features of a target, combination data to be processed based on the plurality of pieces of combination data according to relation between the respective pieces of combination data; executing causal search processing for the variable feature amount according to the invariable feature amount by using the combination data to be processed; and selecting, based on a result of the causal search processing, a specific variable feature amount that corresponds to the specified invariable feature amount, to present the selected specific variable feature.

公开(公告)号：US20240005214A1

公开(公告)日：2024-01-04

申请号：US18468565

申请日：2023-09-15

Applicant: FUJITSU LIMITED

Inventor： Yusuke KOYANAGI ,  Kento UEMURA ,  Kotaro OHORI

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: An information presentation device generates a plurality of training models by executing machine learning that uses training data. The information presentation device generates hierarchical information that represents, in a hierarchical structure, a relationship between hypotheses shared as common and hypotheses regarded as differences for a plurality of hypotheses extracted from each of the plurality of training models and each designated by a combination of one or more explanatory variables.

公开(公告)号：US20230115697A1

公开(公告)日：2023-04-13

申请号：US18065217

申请日：2022-12-13

Applicant: FUJITSU LIMITED

Inventor： Yukiko SEKI ,  Kotaro OHORI

IPC: G06N5/022

Abstract: A non-transitory computer-readable storage medium storing a prediction program for causing a computer to perform processing including: listing combinations of feature amounts that are correlated with a target label; creating a policy to achieve the target label for a prediction target based on a difference between the listed combinations of the feature amounts and a combination of feature amounts of the prediction target; and determining appropriateness of the created policy based on performance information that indicates past performances.

公开(公告)号：US20240211811A1

公开(公告)日：2024-06-27

申请号：US18599284

申请日：2024-03-08

Applicant: FUJITSU LIMITED

Inventor： Hiroaki IWASHITA ,  Keisuke GOTO ,  Kotaro OHORI

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: An information processing program for causing a computer to execute a process including: acquiring an index value, the index value indicating how many data sets have correct classification results obtained by classifying data sets for each of a plurality of attribute value patterns different from each other with a classifier; identifying, based on the acquired index values, one or more of first attribute value patterns among the plurality of attribute value patterns, each of the one or more of the first attribute value patterns being an attribute value pattern having a relatively small number of data sets with the correct classification results; in a case of classifying a target data set, determining whether at least any one of the identified one or more of first attribute value patterns matches the target data set; and outputting a result of the determining.

公开(公告)号：US20230222367A1

公开(公告)日：2023-07-13

申请号：US18185924

申请日：2023-03-17

Applicant: FUJITSU LIMITED

Inventor： Keisuke GOTO ,  Tatsuya ASAI ,  Hiroaki IWASHITA ,  Kotaro OHORI ,  Yoshinobu SHIOTA

IPC: G06Q30/0241 ,  G06N20/00

CPC classification number: G06Q30/0249 ,  G06N20/00

Abstract: A non-transitory computer-readable recording medium stores therein an allocation program that causes a computer to execute a process including: performing, by using a part of data including an objective variable and one or more explanatory variables corresponding to the objective variable as training data, training of a model that predicts the objective variable from the explanatory variables of the data; classifying test data obtained by excluding the training data from the data into a group according to a classification condition regarding at least a part of the explanatory variables of the data; predicting the objective variable from the explanatory variables of the test data using the trained model for each of groups by which classification has been performed at the classifying; and calculating a predetermined resource amount to be allocated to each of the groups based on the objective variable for each of the groups predicted at the predicting.

公开(公告)号：US20180236358A1

公开(公告)日：2018-08-23

申请号：US15897841

申请日：2018-02-15

Applicant: FUJITSU LIMITED ,  KYUSHU UNIVERSITY, NATIONAL UNIVERSITY CORPORATION

Inventor： Hiroaki IWASHITA ,  Kotaro OHORI ,  Naoyuki KAMIYAMA ,  Akifumi KIRA

IPC: A63F13/795

Abstract: A non-transitory computer-readable recording medium stores therein a matching program that causes a computer to execute a process including: determining subgame perfect equilibrium of a game in extensive form corresponding to the matching, the game in extensive form having a structure in which a plurality of independent players have respective gains corresponding to respective preferences of the respective applicants, and have the ranks of priority associated with order of play, and each of the players recognizes the gains of all the players; performing matching based on results of the subgame perfect equilibrium; setting the gain of a player corresponding to a coupling-requesting applicant having a coupling request requesting matching as a group with another specific applicant, in accordance with whether the coupling request is satisfied; and determining whether to prune options in a move of the player corresponding to the coupling-requesting applicant.