Predicate |
Object |
assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_9285cd183731dfcdc8c4d714c5d1c79a |
classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-06 |
classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-00516 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-29 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6296 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-0053 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6253 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06K9-6256 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-20 |
classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
filingDate |
2021-07-28^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate |
2022-06-14^^<http://www.w3.org/2001/XMLSchema#date> |
inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_574fda8b87122d308be7b14786d9a1ae http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b7f3e28ae40f521c20248b210f28506e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d2f40b26b2dd7695129610af7edcee50 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c7417adbf35537a8b398181951c70034 |
publicationDate |
2022-06-14^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber |
US-11361255-B2 |
titleOfInvention |
Analytic system for interactive graphical model selection based on wavelet coefficients |
abstract |
Graphical interactive model selection is provided. A response variable vector for each value of a group variable and an explanatory variable vector are defined. A wavelet function is fit to the explanatory variable vector paired with the response variable vector defined for each value of the group variable. Each fit wavelet function defines coefficients for each value of the group variable. A curve is presented for each value of the group variable and is defined by the plurality of coefficients of an associated fit wavelet function. An indicator is received of a request to perform functional analysis using the coefficients for each value of the of the group variable based on a predefined factor variable. A model is trained using the coefficients for each value of the group variable and a factor variable value associated with each observation vector of each plurality of observation vectors as a model effect. |
priorityDate |
2019-12-05^^<http://www.w3.org/2001/XMLSchema#date> |
type |
http://data.epo.org/linked-data/def/patent/Publication |