Adaptive metric pruning
US-10713591-B2 · Jul 14, 2020 · US
US11615269B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11615269-B2 |
| Application number | US-201916548885-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 23, 2019 |
| Priority date | Feb 24, 2017 |
| Publication date | Mar 28, 2023 |
| Grant date | Mar 28, 2023 |
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The disclosure relates to a processing method for generating learning data, which may include: specifying requirement information for generating learning data, based on request information for making a request for learning; and transmitting the requirement information to a device that generates the learning data. The disclosure also relates to a system and a program that realize the method, and a storage medium that stores the program.
Opening claim text (preview).
The invention claimed is: 1. A learning data generation method comprising: receiving request information for making a request for learning; transmitting the request information to a device that provides requirement information for generating learning data; receiving the requirement information from the device; and generating the learning data based on the requirement information. 2. The method according to claim 1 , wherein the request information comprises information regarding a learning subject comprising a subject of learning to be performed based on the learning data, and information regarding a goal of learning indicating a processing ability to be acquired for the learning subject. 3. The method according to claim 2 , wherein the generating the learning data based on the requirement information comprises: specifying at least one of a type and the number of learning data, based on the requirement information corresponding to the information regarding the goal of learning; and generating data regarding the type and/or the number as part of the learning data. 4. The method according to claim 2 , wherein the generating the learning data based on the requirement information comprises: forming the learning subject and/or an operation subject to be subjected to data acquisition and/or operation for the learning subject, based on the requirement information corresponding to information regarding the learning subject; and generating data based on the formation, as at least part of the learning data. 5. The method according to claim 2 , wherein the generating the learning data based on the requirement information comprises: setting a state of the learning subject based on the requirement information corresponding to information regarding at least one state of the learning subject; and generating data for each state of the learning subject as at least part of the learning data. 6. The method according to claim 2 , wherein the generating the learning data based on the requirement information further comprises: storing the generated learning data in association with teaching data that reflects the processing ability. 7. The method according to claim 1 , further comprising: receiving a learning result acquired by performing learning based on the learning data; and performing subject analysis by utilizing the learning result. 8. A processing system that generates learning data, comprising a processor configured with a program to perform operations comprising: operation as a request information receiving unit configured to receive request information for making a request for learning; operation as a request information transmitting unit configured to transmit the request information to a device configured to provide requirement information for generating learning data; operation as a requirement information receiving unit configured to receive the requirement information from the device; and operation as a learning data generation unit configured to generate the learning data based on the requirement information. 9. The processing system according to claim 8 , wherein the request information comprises information regarding a learning subject comprising a subject of learning to be performed based on the learning data, and information regarding a goal of learning indicating a processing ability to be acquired for the learning subject. 10. The processing system according to claim 9 , wherein the processor is configured with the program to perform operations such that operation as the learning data generation unit comprises operation as the learning data generation unit configured to specify at least one of a type and the number of learning data, based on the requirement information corresponding to the information regarding the goal of learning, and generate data regarding the type and/or the number as part of the learning data. 11. The processing system according to claim 9 , wherein the processor is configured with the program to perform operations such that operation as the learning data generation unit comprises operation as the learning data generation unit configured to form the learning subject and/or an operation subject to be subjected to data acquisition and/or operation for the learning subject, based on the requirement information corresponding to information regarding the learning subject, and generate data based on the formation, as at least part of the learning data. 12. The processing system according to claim 9 , wherein the processor is configured with the program to perform operations such that operation as the learning data generation unit comprises operation as the learning data generation unit configured to set a state of the learning subject based on the requirement information corresponding to information regarding at least one state of the learning subject, and generate data for each state of the learning subject as at least part of the learning data. 13. The processing system according to claim 9 , wherein the processor is configured with the program to perform operations further comprising: operation as a learning data storage unit configured to store the generated learning data in association with teaching data that reflects the processing ability. 14. The processing system according to claim 8 , wherein the processor is configured with the program to perform operations further comprising: operation as a learning result receiving unit configured to receive a learning result acquired by performing learning based on the learning data; and operation as a learning result utilizing unit configured to perform subject analysis by utilizing the learning result.
Convolutional networks [CNN, ConvNet] · CPC title
Supervised learning · CPC title
characterised by the process organisation or structure, e.g. boosting cascade · CPC title
Combinations of networks · CPC title
Partitioning the feature space · CPC title
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