{"id":"https://openalex.org/W1710317046","doi":"https://doi.org/10.1109/ijcnn.1999.832603","title":"Dynamic logistic regression","display_name":"Dynamic logistic regression","publication_year":2003,"publication_date":"2003-01-22","ids":{"openalex":"https://openalex.org/W1710317046","doi":"https://doi.org/10.1109/ijcnn.1999.832603","mag":"1710317046"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1999.832603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5023717049","display_name":"W.D. Penny","orcid":"https://orcid.org/0000-0001-9064-1191"},"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":"W.D. Penny","raw_affiliation_strings":["Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci. Technol. & Med., London, , UK"],"affiliations":[{"raw_affiliation_string":"Dept. of Electr. & Electron. Eng., Imperial Coll. of Sci. Technol. & Med., London, , UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058617210","display_name":"Stephen Roberts","orcid":"https://orcid.org/0000-0002-9305-9268"},"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":"S.J. Roberts","raw_affiliation_strings":["Dept. of Electrical and Electronic Engineering, Imperial College London, London, UK"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical and Electronic Engineering, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":24,"citation_normalized_percentile":{"value":0.923154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":87,"max":88},"biblio":{"volume":"3","issue":null,"first_page":"1562","last_page":"1567"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9978,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9978,"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/T11236","display_name":"Control Systems and Identification","score":0.994,"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/T10320","display_name":"Neural Networks and Applications","score":0.9911,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.45110452}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.74918777},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6181681},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5441786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.53538525},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5165492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47353718},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.45110452},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43422955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40558118},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37375593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33071858},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3277511},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24767864}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.1999.832603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":14,"referenced_works":["https://openalex.org/W103771591","https://openalex.org/W1554663460","https://openalex.org/W1980792219","https://openalex.org/W1989926363","https://openalex.org/W2005596676","https://openalex.org/W2088538739","https://openalex.org/W2103139809","https://openalex.org/W2122512809","https://openalex.org/W2169178813","https://openalex.org/W2324808601","https://openalex.org/W2325696188","https://openalex.org/W2506240679","https://openalex.org/W2914428007","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W4367335967","https://openalex.org/W4367335871","https://openalex.org/W4238660912","https://openalex.org/W4225160365","https://openalex.org/W2991210157","https://openalex.org/W2908249560","https://openalex.org/W2444264653","https://openalex.org/W2059099031","https://openalex.org/W1596769710","https://openalex.org/W1574918455"],"abstract_inverted_index":{"We":[0,60],"propose":[1],"an":[2,62],"online":[3],"learning":[4],"algorithm":[5,63,76],"for":[6,64],"training":[7],"a":[8,25,33,54,80],"logistic":[9,26],"regression":[10,27],"model":[11],"on":[12,68,79],"nonstationary":[13],"classification":[14],"problems.":[15,84],"The":[16,38,75],"nonstationarity":[17],"is":[18,77],"captured":[19],"by":[20,52],"modelling":[21],"the":[22,43,70],"weights":[23,39],"in":[24],"classifier":[28],"as":[29],"evolving":[30],"according":[31],"to":[32],"first":[34],"order":[35],"Markov":[36],"process.":[37],"are":[40,50],"updated":[41,73],"using":[42],"extended":[44],"Kalman":[45],"filter":[46],"formalism":[47],"and":[48],"nonstationarities":[49],"tracked":[51],"inferring":[53],"time-varying":[55],"state":[56],"noise":[57],"variance":[58],"parameter.":[59],"describe":[61],"doing":[65],"this":[66],"based":[67],"maximising":[69],"evidence":[71],"of":[72,82],"predictions.":[74],"illustrated":[78],"number":[81],"synthetic":[83]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1710317046","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2024-12-08T04:35:50.023495","created_date":"2016-06-24"}