Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8e071d18fea054bf8d1420d483e78ed1 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2178 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V40-172 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2413 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F19-24 |
filingDate |
2014-06-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_5d033d58ebb66ff92aaedf0c75f691c3 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8ed1d8bafb61204d660088ddcec83edd http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_943d5f5b44150da7c1875ab590b4eb0f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b0314b545b8bff25018263ee8f990dda |
publicationDate |
2014-12-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
WO-2014210334-A1 |
titleOfInvention |
Machine learning enchanced by human measurements |
abstract |
In various embodiments, training objects are classified by human annotators, psychometric data characterizing the annotation of the training objects is acquired, a human-weighted loss function based at least in part on the classification data and the psychometric data is computationally derived, and one or more features of a query object are computationally classified based at least in part on the human- weighted loss function. |
isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10445379-B2 |
priorityDate |
2013-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |