http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113962325-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3fae430a74d0c40608e75ad1a938e0ac |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
filingDate | 2021-11-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7ebe1c5b308488835e30ecea4c49de3a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_36c35c9efcbd0bea37299b306b48a01f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c2493cb47dfea897cdfafde3e14c1b2f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_182b7d338ffe19306d8fd7e3c713585a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e8464c858d2add9ff201205b9b4ce6fb |
publicationDate | 2022-01-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-113962325-A |
titleOfInvention | A Remotely Supervised Dataset Denoising Method |
abstract | The invention discloses a method for denoising a remote supervised data set. First, the DS data set is divided into positive sample set TD and negative sample set FD according to whether the data has labels, and then TD is extracted by a pattern-based data extraction algorithm The medium and high-quality positive example set CTD, using CTD and FD, trains a binary classification model Filter-Net, which can accurately identify high-quality negative example set CFD from FD. Finally, the high-quality negative sample set CFD, together with the positive sample set TD, is used as the training data set of the RL model to obtain a higher-quality correctly labeled sample set. Starting from making full use of the wrongly labeled data in the DS data set, the present invention proposes a method for extracting high-quality positive sample and negative sample data from the DS data set, and uses the high-quality positive sample and negative sample data for the desiccation model training, thereby improving the accuracy of the de-drying model and achieving the purpose of effective de-drying. |
priorityDate | 2021-11-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID416225796 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID3036909 |
Total number of triples: 20.