{"id":"https://openalex.org/W2993595083","doi":"https://doi.org/10.1109/mlsp.2019.8918783","title":"Robust Bayesian Transfer Learning Between Kalman Filters","display_name":"Robust Bayesian Transfer Learning Between Kalman Filters","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993595083","doi":"https://doi.org/10.1109/mlsp.2019.8918783","mag":"2993595083"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp.2019.8918783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5050267602","display_name":"Milan Pape\u017e","orcid":"https://orcid.org/0000-0002-6700-081X"},"institutions":[{"id":"https://openalex.org/I4210119419","display_name":"Czech Academy of Sciences, Institute of Information Theory and Automation","ror":"https://ror.org/03h1hsz49","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210119419"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Milan Papez","raw_affiliation_strings":["Czech Academy of Sciences, Institute of Information Theory and Automation, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Academy of Sciences, Institute of Information Theory and Automation, Czech Republic","institution_ids":["https://openalex.org/I4210119419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012149887","display_name":"Anthony Quinn","orcid":"https://orcid.org/0000-0002-3873-7556"},"institutions":[{"id":"https://openalex.org/I4210119419","display_name":"Czech Academy of Sciences, Institute of Information Theory and Automation","ror":"https://ror.org/03h1hsz49","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I202391551","https://openalex.org/I4210119419"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Anthony Quinn","raw_affiliation_strings":["Czech Academy of Sciences, Institute of Information Theory and Automation, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Academy of Sciences, Institute of Information Theory and Automation, Czech Republic","institution_ids":["https://openalex.org/I4210119419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8676,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.81648608,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9976999759674072,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9965000152587891,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9911999702453613,"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/kalman-filter","display_name":"Kalman filter","score":0.7852498888969421},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6451388597488403},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5409072637557983},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5408033132553101},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5392654538154602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3509838581085205},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3260895013809204}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7852498888969421},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6451388597488403},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5409072637557983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5408033132553101},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5392654538154602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3509838581085205},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3260895013809204}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp.2019.8918783","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp.2019.8918783","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)","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":23,"referenced_works":["https://openalex.org/W1965555277","https://openalex.org/W2037710764","https://openalex.org/W2052958516","https://openalex.org/W2095780937","https://openalex.org/W2097381042","https://openalex.org/W2105934661","https://openalex.org/W2122084318","https://openalex.org/W2165698076","https://openalex.org/W2167446990","https://openalex.org/W2225156818","https://openalex.org/W2395579298","https://openalex.org/W2588430197","https://openalex.org/W2731372149","https://openalex.org/W2773192101","https://openalex.org/W2782304201","https://openalex.org/W2785490704","https://openalex.org/W2899407767","https://openalex.org/W2963522845","https://openalex.org/W3101380508","https://openalex.org/W4232464081","https://openalex.org/W4255421341","https://openalex.org/W6674600207","https://openalex.org/W6747869919"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W1580685205","https://openalex.org/W2760382975","https://openalex.org/W2349716249","https://openalex.org/W2120941928","https://openalex.org/W1463864201","https://openalex.org/W3191856393","https://openalex.org/W4282827391","https://openalex.org/W4206770590","https://openalex.org/W2103761320"],"abstract_inverted_index":{"Bayesian":[0,19],"transfer":[1,20,42,56,63,84],"learning":[2],"typically":[3],"requires":[4],"complete":[5],"specification":[6],"of":[7,28,66,85],"the":[8,26,44,97],"stochastic":[9],"dependence":[10],"between":[11],"source":[12,23,45,58,68,87],"and":[13],"target":[14],"domains.":[15],"Fully":[16],"probabilistic":[17],"design-based":[18],"learning-which":[21],"transfers":[22],"knowledge":[24,46],"in":[25],"form":[27],"a":[29,51],"probability":[30],"distribution-obviates":[31],"these":[32],"restrictive":[33],"assumptions.":[34],"However,":[35],"this":[36],"approach":[37],"has":[38],"suffered":[39],"from":[40],"negative":[41],"when":[43,92],"is":[47,73,99],"imprecise.":[48,93],"We":[49],"propose":[50],"scale":[52],"variable":[53],"relaxation":[54],"to":[55,104],"all":[57],"moments":[59],"successfully,":[60],"achieving":[61],"robust":[62],"(i.e.":[64],"rejection":[65],"imprecise":[67],"knowledge).":[69],"A":[70],"recursive":[71],"algorithm":[72],"recovered":[74],"via":[75],"local":[76],"variational":[77],"Bayes":[78],"approximation.":[79],"The":[80],"solution":[81],"offers":[82],"positive":[83],"precise":[86],"knowledge,":[88],"while":[89],"rejecting":[90],"it":[91],"Experiments":[94],"show":[95],"that":[96],"technique":[98],"competitive":[100],"with":[101],"or":[102],"equivalent":[103],"alternative":[105],"methods.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}