| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_793f75311ed1ce5115f17700521997c2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_9e44851e5aa979d19754f614fd6fbc94 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-0454
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B17-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G05B13-0265
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 |
| classificationIPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B13-02
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G05B17-02 |
| filingDate |
2018-12-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2022-03-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_eafb51ade0044ad8dfb47c26ec049846
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ae2cbc262019e7127b6547d77ef28d64
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2d2004bb805ba26f4e45ec1304a8ad80
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_52775cec7cb2afff592c7c799df5667b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_291ed0efd689245623a878f59d467ea2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_413dd66692735248de2b5657590ad6d7
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_11b130f21796d2f5b5f07261b0de1a96 |
| publicationDate |
2022-03-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-11281997-B2 |
| titleOfInvention |
Systems for constructing hierarchical training data sets for use with machine-learning and related methods therefor |
| abstract |
Some embodiments include a system operable to construct hierarchical training data sets for use with machine-learning for multiple controlled devices. Other embodiments of related systems and methods are also provided. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11414843-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11555421-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11447407-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11607644-B2 |
| priorityDate |
2017-12-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |