{"id":"https://openalex.org/W1844525149","doi":null,"title":"Moderated and Drifting Linear Dynamical Systems","display_name":"Moderated and Drifting Linear Dynamical Systems","publication_year":2015,"publication_date":"2015-07-06","ids":{"openalex":"https://openalex.org/W1844525149","mag":"1844525149"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1023.5786","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1023.5786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_guan15.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5053582808","display_name":"Jinyan Guan","orcid":"https://orcid.org/0000-0002-9721-6267","observed_orcids":["https://orcid.org/0000-0002-9721-6267"]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jinyan Guan","raw_affiliation_strings":["Department of Computer Science, University of Arizona,#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-9721-6267","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Arizona,#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066728322","display_name":"Kyle Simek","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyle Simek","raw_affiliation_strings":["Department of Computer Science, University of Arizona,#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Arizona,#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043410925","display_name":"Ernesto Brau","orcid":"https://orcid.org/0000-0003-0380-8630","observed_orcids":["https://orcid.org/0000-0003-0380-8630"]},"institutions":[{"id":"https://openalex.org/I103531236","display_name":"Boston College","ror":"https://ror.org/02n2fzt79","country_code":"US","type":"education","lineage":["https://openalex.org/I103531236"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ernesto Brau","raw_affiliation_strings":["Department of Computer Science, Boston College"],"raw_orcid":"https://orcid.org/0000-0003-0380-8630","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Boston College","institution_ids":["https://openalex.org/I103531236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017273810","display_name":"Clayton T. Morrison","orcid":"https://orcid.org/0000-0002-3606-0078","observed_orcids":["https://orcid.org/0000-0002-3606-0078"]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Clayton T. Morrison","raw_affiliation_strings":["School of Information Science, Technology and Arts, University of Arizona#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-3606-0078","affiliations":[{"raw_affiliation_string":"School of Information Science, Technology and Arts, University of Arizona#TAB#","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021168575","display_name":"Emily Ana Butler","orcid":"https://orcid.org/0000-0002-6648-7371","observed_orcids":["https://orcid.org/0000-0002-6648-7371"]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily A. Butler","raw_affiliation_strings":["Norton School of Family and Consumer Sciences, University of Arizona"],"raw_orcid":"https://orcid.org/0000-0002-6648-7371","affiliations":[{"raw_affiliation_string":"Norton School of Family and Consumer Sciences, University of Arizona","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082471157","display_name":"Kobus Barnard","orcid":"https://orcid.org/0000-0002-8568-9518","observed_orcids":["https://orcid.org/0000-0002-8568-9518"]},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kobus Barnard","raw_affiliation_strings":["Department of Computer Science, University of Arizona,#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-8568-9518","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Arizona,#TAB#","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3086,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67210485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2473","last_page":"2482"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.5102999806404114,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.5102999806404114,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.11110000312328339,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.06400000303983688,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-dynamical-systems","display_name":"linear dynamical systems","score":0.9049999713897705},{"id":"https://openalex.org/keywords/parameter-drift","display_name":"parameter drift","score":0.9860000014305115},{"id":"https://openalex.org/keywords/moderating-variables","display_name":"moderators","score":0.8690000176429749},{"id":"https://openalex.org/keywords/domain-theory","display_name":"domain theory","score":0.7390000224113464},{"id":"https://openalex.org/keywords/explanation","display_name":"explanation","score":0.41200000047683716},{"id":"https://openalex.org/keywords/sampling-based-inference","display_name":"sampling-based inference","score":0.6150000095367432},{"id":"https://openalex.org/keywords/conversational-dynamics","display_name":"conversational dynamics","score":0.7160000205039978},{"id":"https://openalex.org/keywords/emotional-experience","display_name":"emotional experience","score":0.6510000228881836},{"id":"https://openalex.org/keywords/body-mass-index","display_name":"body mass index","score":0.8140000104904175}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.6639730930328369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6191211938858032},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5616564750671387},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.5327672362327576},{"id":"https://openalex.org/C93225998","wikidata":"https://www.wikidata.org/wiki/Q1941972","display_name":"Moderation","level":2,"score":0.5316954851150513},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5071971416473389},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4758313000202179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39782989025115967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3124736547470093},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.19757261872291565},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.1023.5786","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.1023.5786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_guan15.pdf","raw_type":"text"},{"id":"mag:1844525149","doi":null,"is_oa":false,"landing_page_url":"http://jmlr.org/proceedings/papers/v37/guan15.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419644","display_name":"International Conference on Machine Learning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Machine Learning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W62387039","https://openalex.org/W151435321","https://openalex.org/W1490533726","https://openalex.org/W1502039512","https://openalex.org/W1504505986","https://openalex.org/W1575978816","https://openalex.org/W1608399948","https://openalex.org/W1654787807","https://openalex.org/W1746819321","https://openalex.org/W1968520237","https://openalex.org/W1973239973","https://openalex.org/W1989466762","https://openalex.org/W1995472783","https://openalex.org/W2013720270","https://openalex.org/W2019807250","https://openalex.org/W2030564173","https://openalex.org/W2045893916","https://openalex.org/W2046443205","https://openalex.org/W2051866702","https://openalex.org/W2059448777","https://openalex.org/W2080816645","https://openalex.org/W2082655264","https://openalex.org/W2092960636","https://openalex.org/W2104911495","https://openalex.org/W2124584833","https://openalex.org/W2125373697","https://openalex.org/W2125716610","https://openalex.org/W2127972252","https://openalex.org/W2133078088","https://openalex.org/W2139688922","https://openalex.org/W2187720993","https://openalex.org/W2319415904","https://openalex.org/W2319885746","https://openalex.org/W2483109916","https://openalex.org/W2755878781"],"related_works":["https://openalex.org/W2483109916","https://openalex.org/W2929721649","https://openalex.org/W1573444888","https://openalex.org/W589830712","https://openalex.org/W2545581354","https://openalex.org/W2914594564","https://openalex.org/W4385740522","https://openalex.org/W2617295157","https://openalex.org/W2918998317","https://openalex.org/W2139688922"],"abstract_inverted_index":{"We":[0,79,114,146],"consider":[1],"linear":[2,7],"dynamical":[3],"systems,":[4],"particu-larly":[5],"coupled":[6,50],"oscillators,":[8],"where":[9],"the":[10,77,131,148,153,157],"param-eters":[11],"represent":[12],"meaningful":[13],"values":[14],"in":[15,60,96,156],"a":[16,53,84,97,100,112],"domain":[17],"theory,":[18],"and":[19,47,68,75],"thus":[20],"learning":[21],"what":[22],"affects":[23,152],"them":[24],"con-tributes":[25],"to":[26,73,121],"explanation.":[27],"Rather":[28],"than":[29],"allow":[30],"pertur-bations":[31],"of":[32,55,87,92,130],"latent":[33],"states,":[34],"we":[35,69],"assume":[36],"that":[37,150],"temporal":[38],"variation":[39,48],"beyond":[40],"noise":[41],"is":[42,52],"explained":[43],"by":[44],"parame-ter":[45],"drift,":[46],"across":[49],"systems":[51],"function":[54],"moderating":[56],"variables.":[57],"This":[58],"change":[59],"model":[61],"structure":[62],"reduces":[63],"opportunities":[64],"for":[65,133],"ef-ficient":[66],"inference,":[67],"propose":[70],"sampling":[71],"pro-cedures":[72],"learn":[74],"fit":[76],"models.":[78],"test":[80,135],"our":[81],"approach":[82],"on":[83,118],"real":[85],"dataset":[86],"self-recalled":[88],"emo-tional":[89],"experience":[90],"measurements":[91],"heterosexual":[93],"couples":[94],"engaged":[95],"conversation":[98,124,154],"about":[99],"po-tentially":[101],"emotional":[102],"topic,":[103],"with":[104,137],"body":[105],"mass":[106],"index":[107],"(BMI)":[108],"being":[109,140],"considered":[110],"as":[111],"moderator.":[113],"eval-uate":[115],"several":[116],"models":[117],"their":[119],"ability":[120],"predict":[122],"fu-ture":[123],"dynamics":[125],"(the":[126],"last":[127],"20":[128],"%":[129],"data":[132],"each":[134],"couple),":[136],"shared":[138],"parameters":[139],"learned":[141],"using":[142],"held":[143],"out":[144],"data.":[145],"validate":[147],"hypothesis":[149],"BMI":[151],"dynamic":[155],"experimentally":[158],"chosen":[159],"topic.":[160],"1.":[161]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-09-22T06:50:58.402377","created_date":"2016-06-24T00:00:00"}