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公开(公告)号：US20190012413A1
公开(公告)日：2019-01-10
申请号：US16027961
申请日：2018-07-05
申请人： FUJITSU LIMITED
发明人： Masaru TODORIKI , Yuhei UMEDA , Ken KOBAYASHI
IPC分类号： G06F17/50
摘要： A non-transitory computer-readable recording medium stores therein a state classifying program that causes a computer to execute a process including: generating an attractor containing a plurality of points that correspond to a plurality of sets of time series data, coordinate values of each of the plurality of points being values corresponding to the sets of time series data; generating Betti number sequence data by applying a persistent homology process on the attractor; and classifying a state that is represented by the plurality of sets of time series data based on the Betti number sequence data.
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公开(公告)号：US20230229967A1
公开(公告)日：2023-07-20
申请号：US18124630
申请日：2023-03-22
申请人： FUJITSU LIMITED
发明人： Arseny TOLMACHEV , Akira SAKAI , Masaru TODORIKI
IPC分类号： G06N20/00
CPC分类号： G06N20/00
摘要： A machine learning process including identifying a first axis including elements represented by one-hot vectors and a second axis including elements not represented by one-hot vectors, among a plurality of axes included in tensor-form data, when calculating a core tensor from the tensor-form data via a plurality of intermediate tensors, calculating the core tensor from the tensor-form data by a first process of concatenating elements included in a first element matrix corresponding to the first axis to elements included in a first intermediate tensor among the plurality of intermediate tensors and a second process of calculating a mode product between a second intermediate tensor among the plurality of intermediate tensors and a second element matrix corresponding to the second axis, and performing machine learning of a machine learning model with the core tensor as an input.
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公开(公告)号：US20220138627A1
公开(公告)日：2022-05-05
申请号：US17464738
申请日：2021-09-02
申请人： FUJITSU LIMITED
发明人： Masaru TODORIKI , Koji MARUHASHI
摘要： A machine learning method is performed by a computer. The method includes acquiring first graph information, generating second graph information, without changing a coupling state between nodes included in the first graph information, by a change process of changing an attribute value of a coupling between the nodes, and performing machine learning on a model, based on the first graph information and the second graph information.
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公开(公告)号：US20230196109A1
公开(公告)日：2023-06-22
申请号：US18172419
申请日：2023-02-22
申请人： FUJITSU LIMITED
发明人： Masaru TODORIKI , Masafumi SHINGU , Koji MARUHASHI
IPC分类号： G06N3/08
CPC分类号： G06N3/08
摘要： A non-transitory computer-readable recording medium storing a model generation program for causing a computer to perform processing including: changing first data and generating a plurality of pieces of data; calculating a plurality of values indicating a distance between the first data and each of the plurality of pieces of data; determining whether or not a value indicating uniformity of distribution of the distance between the first data and each of the plurality of pieces of data is equal to or greater than a threshold based on the plurality of values; and in a case where the value indicating the uniformity is determined to be equal to or greater than the threshold, generating a linear regression model using a result obtained by inputting the plurality of pieces of data into a machine learning model as an objective variable and using the plurality of pieces of data as explanatory variables.
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公开(公告)号：US20230133868A1
公开(公告)日：2023-05-04
申请号：US17945102
申请日：2022-09-15
申请人： Fujitsu Limited
发明人： Masaru TODORIKI , Koji MARUHASHI
摘要： A recording medium storing an explanatory program for causing a computer to execute an explanatory process. The process includes: generating a plurality of pieces of data based on first data; calculating a ratio of output results, among a plurality of results output in a case that each of the plurality of pieces of data is input to a machine learning model, different from first results output in a case that the first data is input to the machine learning model; generating a linear model based on the plurality of pieces of data and the plurality of results in a case that the calculated ratio satisfies a criterion; and outputting explanatory information with respect to the first results based on the linear model.
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公开(公告)号：US20210390623A1
公开(公告)日：2021-12-16
申请号：US17330411
申请日：2021-05-26
申请人： FUJITSU LIMITED
发明人： Masaru TODORIKI , Yuhei UMEDA , Ken KOBAYASHI , Koji MARUHASHI
摘要： A non-transitory computer-readable recording medium has stored therein a program that causes a computer to execute a process, the process including determining numerical values indicating features at respective timings having a predetermined time interval with respect to time-series data to be analyzed, numbers of the numerical values at the respective timings being made same, and generating an attractor related to the time-series data based on the determined numerical values.
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公开(公告)号：US20190236407A1
公开(公告)日：2019-08-01
申请号：US16262974
申请日：2019-01-31
申请人： FUJITSU LIMITED
发明人： Masaru TODORIKI , Yuhei UMEDA , Ken KOBAYASHI
CPC分类号： G06K9/6232 , G06K9/00523 , G06K9/00536
摘要： A detection device adds, with regard to each of a plurality of sets of time-series data including a plurality of items, a time-shift term to at least any of the plurality of items included in each of the plurality of sets of time-series data. The detection device generates a plurality of attractors from the plurality of sets of time-series data to which the time-shift term has been added. The detection device generates a plurality of Betti sequences from each of the plurality of attractors by executing a persistent homology transformation on each of the plurality of attractors, each of the plurality of Betti sequences indicating a correspondence relationship between a Betti number and a scale value has been used for the persistent homology transformation. The detection device detects a state change in the plurality of sets of time-series data based on a time change in the plurality of Betti sequences.
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公开(公告)号：US20190012297A1
公开(公告)日：2019-01-10
申请号：US16028915
申请日：2018-07-06
申请人： FUJITSU LIMITED
发明人： Ken KOBAYASHI , Yuhei UMEDA , Masaru TODORIKI , Hiroya INAKOSHI
摘要： A non-transitory computer-readable recording medium stores therein an analysis program that causes a computer to execute a process including: dividing a Betti number sequence into a plurality of Betti number sequences, the Betti number sequence being included in a result of a persistent homology process performed on time series data, the plurality of Betti number sequences corresponding to different dimension of the Betti number sequence; and performing an analysis on each of the plurality of Betti number sequences.
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