{"id":"https://openalex.org/W2782898022","doi":"https://doi.org/10.1109/cdc.2017.8264636","title":"Identification of nonlinear sparse networks using sparse Bayesian learning","display_name":"Identification of nonlinear sparse networks using sparse Bayesian learning","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2782898022","doi":"https://doi.org/10.1109/cdc.2017.8264636","mag":"2782898022"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2017.8264636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.17863/cam.26521","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030070065","display_name":"Junyang Jin","orcid":"https://orcid.org/0000-0002-7336-6682"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210138174","display_name":"Circadian (United States)","ror":"https://ror.org/03rqvr941","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138174"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Junyang Jin","raw_affiliation_strings":["Circadian Signal Transduction Group, Department of Plant Sciences, University of Cambridge","Circadian Signal Transduction Group Department of Plant Sciences, University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circadian Signal Transduction Group, Department of Plant Sciences, University of Cambridge","institution_ids":["https://openalex.org/I4210138174"]},{"raw_affiliation_string":"Circadian Signal Transduction Group Department of Plant Sciences, University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016488397","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0001-7858-0437"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["School of Automation, Huazhong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Huazhong University of Science and Technology","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100721259","display_name":"Wei Pan","orcid":"https://orcid.org/0000-0003-1121-9879"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wei Pan","raw_affiliation_strings":["Cardwell Investment Tech and Imperial College London"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cardwell Investment Tech and Imperial College London","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045155646","display_name":"Claire J. Tomlin","orcid":"https://orcid.org/0000-0003-3192-3185"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Claire Tomlin","raw_affiliation_strings":["Department of Electrical Engineering and Computer Sciences, UC Berkeley"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Sciences, UC Berkeley","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013489448","display_name":"Alex Webb","orcid":"https://orcid.org/0000-0003-0261-4375"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]},{"id":"https://openalex.org/I4210138174","display_name":"Circadian (United States)","ror":"https://ror.org/03rqvr941","country_code":"US","type":"company","lineage":["https://openalex.org/I4210138174"]}],"countries":["GB","US"],"is_corresponding":false,"raw_author_name":"Alex A. Webb","raw_affiliation_strings":["Circadian Signal Transduction Group, Department of Plant Sciences, University of Cambridge","Circadian Signal Transduction Group Department of Plant Sciences, University of Cambridge"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Circadian Signal Transduction Group, Department of Plant Sciences, University of Cambridge","institution_ids":["https://openalex.org/I4210138174"]},{"raw_affiliation_string":"Circadian Signal Transduction Group Department of Plant Sciences, University of Cambridge","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035877557","display_name":"Jorge Gon\u00e7alves","orcid":"https://orcid.org/0000-0002-5228-6165"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Jorge Gon\u00e7alves","raw_affiliation_strings":["Department of Engineering, University of Cambridge and the Luxembourg Centre for Systems Biomedicine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge and the Luxembourg Centre for Systems Biomedicine","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3244,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.78897231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"6481","last_page":"6486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9995999932289124,"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":0.9995999932289124,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9873999953269958,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6543940305709839},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5728651285171509},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.536483645439148},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4701077342033386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4653758406639099},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.44672852754592896},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43245378136634827},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.377204567193985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37158483266830444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3062959909439087}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6543940305709839},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5728651285171509},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.536483645439148},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4701077342033386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4653758406639099},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.44672852754592896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43245378136634827},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.377204567193985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37158483266830444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3062959909439087},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/cdc.2017.8264636","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2017.8264636","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 56th Annual Conference on Decision and Control (CDC)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/28f62f7d-ab33-4049-b272-db92b7cb1ab0","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/28f62f7d-ab33-4049-b272-db92b7cb1ab0","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Jin, J, Yuan, Y, Pan, W, Tomlin, C, Webb, A A & Gon\u00e7alves, J 2017, Identification of nonlinear sparse networks using sparse Bayesian learning. in 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017. 2017 IEEE 56th Annual Conference on Decision and Control, CDC 2017, vol. 2018-January, IEEE, pp. 6481-6486, 56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne, Australia, 12/12/17. https://doi.org/10.1109/CDC.2017.8264636","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:generic.eprints.org:970604","is_oa":false,"landing_page_url":"http://publications.eng.cam.ac.uk/970604/","pdf_url":null,"source":{"id":"https://openalex.org/S4406922847","display_name":"Cambridge University Engineering Department Publications Database","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/279141","is_oa":false,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/279141","pdf_url":null,"source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference Object"},{"id":"doi:10.17863/cam.26521","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.26521","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Other"}],"best_oa_location":{"id":"doi:10.17863/cam.26521","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.26521","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Other"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W78749393","https://openalex.org/W178056938","https://openalex.org/W866015105","https://openalex.org/W1663973292","https://openalex.org/W1926534335","https://openalex.org/W1987371344","https://openalex.org/W2021065610","https://openalex.org/W2033419225","https://openalex.org/W2048951385","https://openalex.org/W2086901931","https://openalex.org/W2092766760","https://openalex.org/W2120340025","https://openalex.org/W2127215672","https://openalex.org/W2127870457","https://openalex.org/W2136870201","https://openalex.org/W2138185577","https://openalex.org/W2152279006","https://openalex.org/W2159660986","https://openalex.org/W2164129707","https://openalex.org/W2284915482","https://openalex.org/W2594639291","https://openalex.org/W4285719527","https://openalex.org/W6639947928","https://openalex.org/W6678397451","https://openalex.org/W6680210033"],"related_works":["https://openalex.org/W2972991241","https://openalex.org/W2961085424","https://openalex.org/W2154204858","https://openalex.org/W2381390841","https://openalex.org/W3209622820","https://openalex.org/W4224009465","https://openalex.org/W2382250648","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W2367363545"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2,39],"a":[3,20,57,74],"parametric":[4],"approach":[5],"to":[6,62,82,112,146],"infer":[7],"sparse":[8,64],"networks":[9],"described":[10],"by":[11],"nonlinear":[12,42,53,76],"ARX":[13,17],"models,":[14],"with":[15],"linear":[16,133],"treated":[18],"as":[19,48],"special":[21],"case.":[22],"The":[23,98],"proposed":[24,99,141],"method":[25,100,122,142],"infers":[26],"both":[27,92,114],"the":[28,32,36,63,83,87,140,147],"Boolean":[29],"structure":[30,135],"and":[31,94,106,125],"internal":[33,84],"dynamics":[34],"of":[35,41,52,67,116],"network.":[37],"It":[38],"classes":[40],"systems":[43],"that":[44,120,139],"can":[45],"be":[46],"written":[47],"weighted":[49],"(unknown)":[50],"sums":[51],"functions":[54],"chosen":[55],"from":[56],"fixed":[58],"basis":[59],"dictionary.":[60],"Due":[61],"topology,":[65],"coefficients":[66],"most":[68],"groups":[69,80],"are":[70,129],"zero.":[71],"Besides,":[72],"only":[73],"few":[75],"terms":[77],"in":[78],"nonzero":[79],"contribute":[81],"dynamics.":[85],"Therefore,":[86],"identification":[88],"problem":[89],"should":[90],"estimate":[91],"group-":[93],"element-sparse":[95],"parameter":[96],"vectors.":[97],"combines":[101],"Sparse":[102,108],"Bayesian":[103,109],"Learning":[104,110],"(SBL)":[105],"Group":[107],"(GSBL)":[111],"impose":[113],"kinds":[115],"sparsity.":[117],"Simulations":[118],"indicate":[119],"our":[121],"outperforms":[123],"SBL":[124],"GSBL":[126],"when":[127],"these":[128],"applied":[130],"alone.":[131],"A":[132],"ring":[134],"network":[136],"also":[137],"illustrates":[138],"has":[143],"improved":[144],"performance":[145],"kernel":[148],"approach.":[149]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
