| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_46570326040ec3afb9917a7e7799019f |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N5-01
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-10 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B30-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16B40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-048
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-063
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-20
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16B40-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate |
2019-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0fcee57934239a51eb74d63efdeff9cf |
| publicationDate |
2020-12-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2020244774-A1 |
| titleOfInvention |
A system and method for training machine-learning algorithms for processing biology-related data, a microscope and a trained machine learning algorithm |
| abstract |
A system (100) comprises one or more processors (110) and one or more storage devices (120), wherein the system (100) is configured to generate a first high-dimensional representation of the biology-related language-based input training data (102) by a language recognition machine-learning algorithm executed by the one or more processors (110). Further, the system (100) is configured to generate biology-related language-based output training data based on the first high-dimensional representation by the language recognition machine- learning algorithm and adjust the language recognition machine-learning algorithm based on a comparison of the biology-related language-based input training data (102) and the biolo- gy-related language-based output training data. Additionally. the system (100) is configured to generate a second high-dimensional representation of the biology-related image-based input training data (104) by a visual recognition machine-learning algorithm executed by the one or more processors (110) and adjust the visual recognition machine-learning algorithm based on a comparison of the first high-dimensional representation and the second high- dimensional representation. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114778485-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113658047-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112949841-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113517030-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113517030-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2022198808-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113449801-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112949841-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112906813-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113178229-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113178229-B |
| priorityDate |
2019-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |