公开(公告)号：US20230289362A1

公开(公告)日：2023-09-14

申请号：US18107044

申请日：2023-02-08

Applicant: Fujitsu Limited ,  OSAKA UNIVERSITY

Inventor： Keisuke GOTO ,  Satoshi HARA

IPC: G06F16/25 ,  G06F17/18

CPC classification number: G06F16/258 ,  G06F17/18

Abstract: A data converting device includes a processor that executes a procedure. The procedure includes: for each of plural conversion rules, specifying a difference between pre-conversion data and post-conversion data generated by applying the plural conversion rules respectively to the pre-conversion data; determining application probabilities of the plural conversion rules respectively, in accordance with deviations in first plural data based on a first attribute of the first plural data and the differences for the plurality conversion rules; and generating second plural data by applying the plural conversion rules to the first plural data based on the application probabilities.

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：US20230102324A1

公开(公告)日：2023-03-30

申请号：US18058652

申请日：2022-11-23

Applicant: FUJITSU LIMITED

Inventor： Hirofumi SUZUKI ,  Keisuke GOTO

IPC: G06K9/62

Abstract: A non-transitory computer-readable storage medium storing a model training program for causing a computer to execute processing including: selecting, from among a plurality of pieces of training data included in a training data set used to train a determination model, training data that have caused the determination model to output a correct determination result during the training of the determination model; presenting, to a user, the correct determination result and a data item that has contributed to the correct determination result among data items included in the selected training data; receiving, from the user, an evaluation of ease of interpretation for the presented data item; and performing, based on a loss function adjusted in accordance with the received evaluation, training of the determination model by using the training data set.

公开(公告)号：US20200279178A1

公开(公告)日：2020-09-03

申请号：US16795706

申请日：2020-02-20

Applicant: FUJITSU LIMITED

Inventor： Keisuke GOTO ,  Tatsuya Asai ,  Hiroaki Iwashita ,  Kotaro Ohori ,  YOSHINOBU SHIOTA

IPC: G06N5/04 ,  G06Q30/02 ,  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：US20230325694A1

公开(公告)日：2023-10-12

申请号：US18335907

申请日：2023-06-15

Applicant: FUJITSU LIMITED

Inventor： Keisuke GOTO ,  Hirofumi SUZUKI

IPC: G06N7/00

CPC classification number: G06N7/00

Abstract: A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute processing including: acquiring evaluation for any variable that appears in at least any mathematical model of a plurality of mathematical models among a plurality of variables; specifying a frequency of appearance of each variable of the plurality of variables in each mathematical model of the plurality of mathematical models; and determining evaluation for the each mathematical model based on an importance level for the any variable set according to the acquired evaluation and the specified frequency.

公开(公告)号：US20220172235A1

公开(公告)日：2022-06-02

申请号：US17671471

申请日：2022-02-14

Applicant: FUJITSU LIMITED

Inventor： Hiroaki Iwashita ,  Keisuke GOTO ,  Kotaro Ohori

IPC: G06Q30/02

Abstract: A storage medium storing a pattern extraction program that causes a computer to execute a process includes acquiring sample set data associated with both of data item values related to each of a plurality of data items and label information regarding an event; acquiring a plurality of combination patterns, each of which is a combination of the data item values; determining evaluation values for each of the plurality of combination patterns based on a number of samples that satisfy each of the plurality of combination patterns among the samples indicated by the sample set data and a ratio of samples whose label information indicates a certain value to samples that satisfy each of the plurality of combination patterns; and extracting a combination pattern that corresponds to one of the evaluation values that has a local maximum value in the evaluation values from the plurality of combination patterns.

公开(公告)号：US20200279141A1

公开(公告)日：2020-09-03

申请号：US16799963

申请日：2020-02-25

Applicant: FUJITSU LIMITED

Inventor： Tatsuya Asai ,  Keisuke GOTO ,  Hiroaki Iwashita ,  Kotaro Ohori

IPC: G06K9/62 ,  G06N20/00

Abstract: A non-transitory computer-readable recording medium stores therein an extraction program that causes a computer to execute a process including: generating a plurality of combinations of conditions relating to a plurality of item values included in data; calculating an index value that indicates a degree of cooccurrence between a specified response variable and each of the plurality of combinations, by using a machine learning model that estimates a response variable from the plurality of item values, the machine learning model having been trained by using the data; and extracting a specific combination from among the plurality of combinations based on any one of the condition and the index value.

公开(公告)号：US20220414404A1

公开(公告)日：2022-12-29

申请号：US17900972

申请日：2022-09-01

Applicant: FUJITSU LIMITED

Inventor： Hirofumi Suzuki ,  Keisuke GOTO

IPC: G06K9/62 ,  G06N20/00

Abstract: A non-transitory computer-readable storage medium storing a model generation program that causes at least one computer to execute a process that includes acquiring, on a first assumption that assumes each of individual data items included in a training data set is easy for a user to interpret, each of first values for each of the individual data items by optimizing an objective function that has a loss weight related to ease of interpretation of the data item by using the training data set; acquiring, on a second assumption that assumes each of the individual data items is not easy, each of second values; selecting a specific data item from the individual data items based on each of the first values and each of the second values for each of the individual data items; and generating a linear model using user evaluation for the specific data item.

公开(公告)号：US20190138250A1

公开(公告)日：2019-05-09

申请号：US16176010

申请日：2018-10-31

Applicant: FUJITSU LIMITED

Inventor： TAKASHI KATOH ,  Keisuke GOTO

IPC: G06F3/06

Abstract: An optional array in a memory includes an array having blocks each including an address word and a data word, and a boundary that is a position where a ratio between the numbers of unwritten blocks in M area and written blocks in W area is an integer ratio. The controlling process includes when a second write for writing a special value in a written block in the second area is invoked, executing a shrink process of shifting the boundary to shrink the first area; in a case where the first adjacent block at the boundary is a written block, storing an address of the first adjacent block and of a first link destination block forming a link with the write destination block in address words of the first link destination block and of the first adjacent block respectively to form a link.