{"id":"https://openalex.org/W4321061885","doi":"https://doi.org/10.1109/crc55853.2022.10041235","title":"Supervised Latent Variable Model with Gaussian Inner Structure for Dynamic PROCESS","display_name":"Supervised Latent Variable Model with Gaussian Inner Structure for Dynamic PROCESS","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4321061885","doi":"https://doi.org/10.1109/crc55853.2022.10041235"},"language":"en","primary_location":{"id":"doi:10.1109/crc55853.2022.10041235","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/crc55853.2022.10041235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080445799","display_name":"Xiaoyu Sun","orcid":"https://orcid.org/0000-0003-4744-0479"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Sun","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071371875","display_name":"Jianchang Liu","orcid":"https://orcid.org/0000-0002-2801-8312"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchang Liu","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100694660","display_name":"Yu Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Yu","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101526987","display_name":"Honghai Wang","orcid":"https://orcid.org/0000-0003-3176-353X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghai Wang","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100700480","display_name":"Shubin Tan","orcid":"https://orcid.org/0000-0003-0580-1387"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shubin Tan","raw_affiliation_strings":["School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University,Shenyang,P. R. China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Information Science and Engineering, Northeastern University, Shenyang, P. R. China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17519476,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":null,"first_page":"59","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9431999921798706,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.6663600206375122},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6508134603500366},{"id":"https://openalex.org/keywords/collinearity","display_name":"Collinearity","score":0.606253981590271},{"id":"https://openalex.org/keywords/smoothness","display_name":"Smoothness","score":0.5792193412780762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5381553769111633},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5124195218086243},{"id":"https://openalex.org/keywords/latent-variable-model","display_name":"Latent variable model","score":0.4877982437610626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45418843626976013},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42274409532546997},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41545528173446655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37261688709259033},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36763668060302734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3425025939941406},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3278748691082001},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23931482434272766}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.6663600206375122},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6508134603500366},{"id":"https://openalex.org/C106192678","wikidata":"https://www.wikidata.org/wiki/Q1419761","display_name":"Collinearity","level":2,"score":0.606253981590271},{"id":"https://openalex.org/C102634674","wikidata":"https://www.wikidata.org/wiki/Q868473","display_name":"Smoothness","level":2,"score":0.5792193412780762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5381553769111633},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5124195218086243},{"id":"https://openalex.org/C65965080","wikidata":"https://www.wikidata.org/wiki/Q1806885","display_name":"Latent variable model","level":3,"score":0.4877982437610626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45418843626976013},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42274409532546997},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41545528173446655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37261688709259033},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36763668060302734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3425025939941406},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3278748691082001},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23931482434272766},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/crc55853.2022.10041235","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/crc55853.2022.10041235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 7th International Conference on Control, Robotics and Cybernetics (CRC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2194542308","https://openalex.org/W2217088832","https://openalex.org/W2342028629","https://openalex.org/W2620302040","https://openalex.org/W2757109865","https://openalex.org/W2765130047","https://openalex.org/W2784145046","https://openalex.org/W2885100201","https://openalex.org/W2903397918","https://openalex.org/W2914474532","https://openalex.org/W2950426297","https://openalex.org/W3010673643","https://openalex.org/W3010705831","https://openalex.org/W3089381766","https://openalex.org/W3089652905","https://openalex.org/W6783690334","https://openalex.org/W6784018277"],"related_works":["https://openalex.org/W2461917396","https://openalex.org/W1966667550","https://openalex.org/W2037497866","https://openalex.org/W4243467573","https://openalex.org/W2553423018","https://openalex.org/W1502435251","https://openalex.org/W62001224","https://openalex.org/W3032390039","https://openalex.org/W1584341211","https://openalex.org/W3122667150"],"abstract_inverted_index":{"Supervised":[0],"multivariate":[1],"statistical":[2],"techniques":[3],"are":[4,123,165],"important":[5],"tools":[6],"for":[7,94],"modeling":[8,191],"the":[9,18,41,63,73,82,111,114,126,130,136,140,154,158,162,169,178,185,192],"relationship":[10,20],"between":[11,21],"variables":[12],"in":[13],"dynamic":[14,19,25,51,163],"processes.":[15],"To":[16],"building":[17],"variables,":[22],"a":[23,79,89,134],"supervised":[24,142],"latent":[26,52],"variable":[27],"(LV)":[28],"model":[29,84,103,106,144,160,187],"with":[30,46,104,197],"Gaussian":[31,80,131],"inner":[32,83,102,115],"structure":[33,53],"is":[34,85,92,108,145,150,188],"proposed":[35,141,159,186],"to":[36,61,152],"extract":[37],"explicit":[38],"LVs":[39,71,164],"from":[40,72,168],"process":[42,74,127,171],"and":[43,65,75,121,172],"quality":[44,76,173],"data":[45,68,174,180],"high":[47],"collinearity.":[48],"The":[49,182],"outer":[50],"gains":[54],"stronger":[55],"prediction":[56,137],"ability":[57],"by":[58,157,190],"paying":[59],"attention":[60],"both":[62],"variance":[64],"covariance":[66],"of":[67,113,128,139,184,195],"while":[69],"extracting":[70],"data.":[77],"As":[78,133],"process,":[81],"directly":[86,166],"estimated":[87],"as":[88,118,161],"function":[90],"that":[91,100],"searched":[93],"within":[95],"an":[96,101],"infinite-dimensional":[97],"space,":[98],"such":[99,117],"appropriate":[105],"order":[107],"obtained.":[109],"Besides,":[110],"properties":[112],"structure,":[116],"exponential":[119],"stability":[120],"smoothness,":[122],"integrated":[124],"into":[125],"identifying":[129],"model.":[132],"result,":[135],"capability":[138],"LV":[143],"enhanced.":[146],"What's":[147],"more,":[148],"it":[149],"easy":[151],"interpret":[153],"results":[155],"obtained":[156],"extracted":[167],"original":[170],"matrices":[175],"rather":[176],"than":[177],"augmented":[179],"matrices.":[181],"efficiency":[183],"demonstrated":[189],"glycemic":[193],"dynamics":[194],"people":[196],"type":[198],"1":[199],"diabetes.":[200]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
