{"id":"https://openalex.org/W2137010530","doi":"https://doi.org/10.1109/icassp.2011.5946747","title":"A sliding-window online fast variational sparse Bayesian learning algorithm","display_name":"A sliding-window online fast variational sparse Bayesian learning algorithm","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2137010530","doi":"https://doi.org/10.1109/icassp.2011.5946747","mag":"2137010530"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5082130977","display_name":"Thomas Buchgraber","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Thomas Buchgraber","raw_affiliation_strings":["Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria","Signal Processing and Speech Comm. Lab., Graz University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Signal Processing and Speech Comm. Lab., Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047628893","display_name":"Dmitriy Shutin","orcid":"https://orcid.org/0000-0002-6065-6453"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dmitriy Shutin","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, USA","Dept. of Electrical Engineering, Princeton University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042307561","display_name":"H. Vincent Poor","orcid":"https://orcid.org/0000-0002-2062-131X"},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"H. Vincent Poor","raw_affiliation_strings":["Department of Electrical Engineering, Princeton University, USA","Dept. of Electrical Engineering, Princeton University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"Dept. of Electrical Engineering, Princeton University, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082130977"],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":1.0336,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.78204844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2128","last_page":"2131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.6233600974082947},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5674629211425781},{"id":"https://openalex.org/keywords/online-algorithm","display_name":"Online algorithm","score":0.5372779965400696},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5120139718055725},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.4903597831726074},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.4401068687438965},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4301515519618988},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41965654492378235},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4177369773387909},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38835546374320984},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.2832978367805481},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2572723925113678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6233600974082947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5674629211425781},{"id":"https://openalex.org/C196921405","wikidata":"https://www.wikidata.org/wiki/Q786431","display_name":"Online algorithm","level":2,"score":0.5372779965400696},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5120139718055725},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.4903597831726074},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.4401068687438965},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4301515519618988},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41965654492378235},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4177369773387909},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38835546374320984},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.2832978367805481},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2572723925113678},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5946747","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946747","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"},{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W87496662","https://openalex.org/W1492221128","https://openalex.org/W1506806321","https://openalex.org/W1633751774","https://openalex.org/W1663973292","https://openalex.org/W2034099719","https://openalex.org/W2107710506","https://openalex.org/W2118706537","https://openalex.org/W2146247053","https://openalex.org/W2153290280","https://openalex.org/W2481926318","https://openalex.org/W2595142274","https://openalex.org/W4285719527","https://openalex.org/W6636690510","https://openalex.org/W6676234565","https://openalex.org/W6734797129"],"related_works":["https://openalex.org/W2353818951","https://openalex.org/W1605879311","https://openalex.org/W2611980620","https://openalex.org/W2385763735","https://openalex.org/W2386394344","https://openalex.org/W2382806131","https://openalex.org/W2102148524","https://openalex.org/W2006683254","https://openalex.org/W2370628457","https://openalex.org/W4382459699"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"a":[3,37,51,88],"new":[4],"online":[5,61],"learning":[6,44],"algorithm":[7,99],"that":[8,76],"uses":[9,50],"automatic":[10],"relevance":[11],"determination":[12],"(ARD)":[13],"is":[14,33,74],"proposed":[15,39,48],"for":[16,26],"fast":[17,40],"adaptive":[18],"non":[19],"linear":[20],"filtering.":[21],"A":[22],"sequential":[23],"decision":[24],"rule":[25],"inclusion":[27],"or":[28],"deletion":[29],"of":[30,90,105],"basis":[31,106],"functions":[32],"obtained":[34],"by":[35,70],"applying":[36],"recently":[38],"variational":[41],"sparse":[42],"Bayesian":[43],"(SBL)":[45],"method.":[46],"The":[47,63],"scheme":[49],"sliding":[52],"window":[53],"estimator":[54],"to":[55],"process":[56],"the":[57,71,77,91,102],"data":[58],"in":[59],"an":[60],"fashion.":[62],"noise":[64],"variance":[65],"can":[66],"be":[67],"implicitly":[68],"estimated":[69],"algorithm.":[72],"It":[73],"shown":[75],"described":[78],"method":[79],"has":[80],"better":[81],"mean":[82],"square":[83],"error":[84],"(MSE)":[85],"performance":[86],"than":[87],"state":[89],"art":[92],"kernel":[93],"re":[94],"cursive":[95],"least":[96],"squares":[97],"(Kernel-RLS)":[98],"when":[100],"using":[101],"same":[103],"number":[104],"functions.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}