{"id":"https://openalex.org/W2009390918","doi":"https://doi.org/10.1109/icassp.2014.6854651","title":"Distributed Bayesian learning with a Bernoulli model","display_name":"Distributed Bayesian learning with a Bernoulli model","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2009390918","doi":"https://doi.org/10.1109/icassp.2014.6854651","mag":"2009390918"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6854651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5039056029","display_name":"Zhe Shen","orcid":"https://orcid.org/0000-0002-5378-7842"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhe Shen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stony Brook University, NY","Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, NY","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA#TAB#","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006962534","display_name":"Petar M. Djuri\u0107","orcid":"https://orcid.org/0000-0001-7791-3199"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Petar M. Djuric","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Stony Brook University, NY","Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Stony Brook University, NY","institution_ids":["https://openalex.org/I59553526"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Stony Brook Univ., Stony Brook, NY, USA#TAB#","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039056029"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10635532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5482","last_page":"5486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.7474746704101562},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.6448583006858826},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.588272750377655},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5800995826721191},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5023150444030762},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.49563872814178467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4904427230358124},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4602019488811493},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.42446279525756836},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.41238340735435486},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.15396887063980103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13601714372634888},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10000109672546387},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08314335346221924}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7474746704101562},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.6448583006858826},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.588272750377655},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5800995826721191},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5023150444030762},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.49563872814178467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4904427230358124},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4602019488811493},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.42446279525756836},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.41238340735435486},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.15396887063980103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13601714372634888},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10000109672546387},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08314335346221924},{"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6854651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6854651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":17,"referenced_works":["https://openalex.org/W1537470538","https://openalex.org/W1864806140","https://openalex.org/W1958217321","https://openalex.org/W1967158571","https://openalex.org/W1974226722","https://openalex.org/W2058360748","https://openalex.org/W2058492687","https://openalex.org/W2075848774","https://openalex.org/W2104347495","https://openalex.org/W2107396783","https://openalex.org/W2114269778","https://openalex.org/W2120286056","https://openalex.org/W2133048075","https://openalex.org/W2160643434","https://openalex.org/W3022273187","https://openalex.org/W3099664462","https://openalex.org/W3104550706"],"related_works":["https://openalex.org/W2236428207","https://openalex.org/W2964314781","https://openalex.org/W4366387587","https://openalex.org/W3006565005","https://openalex.org/W2151706800","https://openalex.org/W2099646276","https://openalex.org/W4287868071","https://openalex.org/W4389708677","https://openalex.org/W2611832276","https://openalex.org/W1982788967"],"abstract_inverted_index":{"In":[0,95],"this":[1,96],"paper,":[2,97],"we":[3,127],"study":[4],"multi-agent":[5],"systems":[6],"where":[7,32,110,120],"the":[8,21,47,49,60,66,70,77,82,98,111],"agents":[9,50,73],"learn":[10],"not":[11],"only":[12],"from":[13,20,69,136],"their":[14,55,63],"own":[15],"private":[16,112],"observations,":[17],"but":[18],"also":[19],"ones":[22],"of":[23,62,81],"other":[24],"agents.":[25],"We":[26,105],"build":[27],"on":[28],"a":[29,33,39,92],"recent":[30],"work,":[31],"Bayesian":[34],"learning":[35],"method":[36],"proposed":[37],"for":[38],"linear":[40],"Gaussian":[41],"model":[42],"was":[43],"studied.":[44],"According":[45],"to":[46],"method,":[48],"iteratively":[51],"exchange":[52],"information":[53,64],"with":[54,124],"neighbors,":[56],"and":[57,118,129,133],"they":[58,121],"update":[59],"summary":[61],"using":[65],"signals":[67,113],"received":[68],"neighbors.":[71],"The":[72],"aim":[74],"at":[75],"obtaining":[76],"global":[78],"posterior":[79],"distribution":[80],"unknown":[83],"parameters":[84],"in":[85,91],"as":[86,89],"short":[87],"time":[88],"possible":[90],"distributed":[93],"way.":[94],"posteriors":[99],"are":[100,114,122],"modeled":[101],"by":[102],"Beta":[103],"distributions.":[104],"address":[106],"two":[107],"settings,":[108],"one":[109],"observed":[115],"without":[116],"errors":[117],"another":[119],"contaminated":[123],"errors.":[125],"Finally,":[126],"provide":[128],"discuss":[130],"an":[131],"example":[132],"show":[134],"results":[135],"computer":[137],"simulations.":[138]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}