Patent application EP18195436A (EP), filed 2018-09-19
Publication number: EP3462386A2
Title: LEARNING DATA SELECTION PROGRAM, LEARNING DATA SELECTION METHOD, AND LEARNING DATA SELECTION DEVICE
Abstract: [0001]    To perform selection of learning data of an estimation model that estimates an output factor of a machine learning model that performs classification and determination with respect to transformed data that is transformed from input data, 1) a first input data group relating to first input data is extracted (S12) in correspondence with designation of the first input data included in an input data group input to the machine learning model, 2) a first transformed data group that is input (S14) to the machine learning model and corresponds to the first input data group, and a first output data group of the machine learning model which corresponds to the first transformed data group are respectively acquired, and 3) learning target data of the estimation model is selected (S16) from the first input data group.
IPC codes: G06N   3/    04            A I
G06N   3/    08            A I
G06N  20/    00            A I
Claims: number: 1
text: A learning data selection program that causes a computer (20) to execute a process comprising:
number: 2
text: The learning data selection program according to claim 1, wherein in the extraction processing, the learning target data is extracted based on data contents of each piece of output data included in the first output data group.
number: 3
text: The learning data selection program according to claim 2, wherein in the extraction processing, the learning target data is extracted based on a ratio of the data contents included in the first output data group.
number: 4
text: The learning data selection program according to claim 3, wherein in the extraction processing, the learning target data is extracted based on a ratio between a positive example and a negative example of the data contents included in the first output data group.
number: 5
text: The learning data selection program according to claim 1, wherein input data in which a data acquisition timing has a predetermined relationship with the first input data is specified as the first input data group.
number: 6
text: The learning data selection program according to claim 1, wherein input data in which a data generation source has a predetermined relationship with the first input data is specified as the first input data group.
number: 7
text: The learning data selection program according to claim 1, wherein in the extraction processing, a distance between the first input data and each piece of data of the first input data group is calculated by individually transforming the first input data and the data of the first input data group.
number: 8
text: A learning data selection method comprising:
number: 9
text: A learning data selection device (20) comprising:
Office action: search_report, dated 2019-04-03
Prior art cited: ref_id: - MARCO TULIO RIBEIRO, PROCEEDINGS OF THE 22ND ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, August 2016 (2016-08-01)
ref_type: npl
severity: background
ref_id: US2016358074
ref_type: patent
severity: background
ref_id: US2017200066
ref_type: patent
severity: background
Final disposition: pending (2019-04-03)