http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2014210334-A1

Outgoing Links

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

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID549976
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID129094391

Total number of triples: 19.