乐胖代购免代理版

{"id":"https://openalex.org/W2024823404","doi":"https://doi.org/10.1109/cdc.2012.6426655","title":"Bayesian filtering without an observation model","display_name":"Bayesian filtering without an observation model","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2024823404","doi":"https://doi.org/10.1109/cdc.2012.6426655","mag":"2024823404"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2012.6426655","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/A5047177079","display_name":"Peter Jones","orcid":null},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"funder","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter Jones","raw_affiliation_strings":["Intelligence and Decision Systems group at MIT Lincoln Laboratory, USA"],"affiliations":[{"raw_affiliation_string":"Intelligence and Decision Systems group at MIT Lincoln Laboratory, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091119091","display_name":"Sanjoy K. Mitter","orcid":"https://orcid.org/0000-0002-8619-1295"},"institutions":[{"id":"https://openalex.org/I4210116219","display_name":"Engineering Systems (United States)","ror":"https://ror.org/02qg60849","country_code":"US","type":"company","lineage":["https://openalex.org/I4210116219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanjoy Mitter","raw_affiliation_strings":["Electrical Engineering and Engineering Systems at MIT, USA"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering and Engineering Systems at MIT, USA","institution_ids":["https://openalex.org/I4210116219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048704387","display_name":"Venkatesh Saligrama","orcid":"https://orcid.org/0000-0002-0675-2268"},"institutions":[{"id":"https://openalex.org/I111088046","display_name":"Boston University","ror":"https://ror.org/05qwgg493","country_code":"US","type":"funder","lineage":["https://openalex.org/I111088046"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Venkatesh Saligrama","raw_affiliation_strings":["Electrical and Computer Engineering at Boston University, USA"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering at Boston University, USA","institution_ids":["https://openalex.org/I111088046"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":64},"biblio":{"volume":null,"issue":null,"first_page":"3496","last_page":"3501"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.997,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.997,"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":0.9874,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9819,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.7292794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117356},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6840666},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.595411},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49973702},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49618015},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.46984118},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.45788398},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.439433},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34344947},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28469872},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16038033}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2012.6426655","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":28,"referenced_works":["https://openalex.org/W130599074","https://openalex.org/W141081514","https://openalex.org/W1510355813","https://openalex.org/W1513008779","https://openalex.org/W1603577318","https://openalex.org/W1749494163","https://openalex.org/W1998634271","https://openalex.org/W2024235262","https://openalex.org/W2032136001","https://openalex.org/W2061204063","https://openalex.org/W2083402998","https://openalex.org/W2094183867","https://openalex.org/W2095539364","https://openalex.org/W2099111195","https://openalex.org/W2099867508","https://openalex.org/W2100169223","https://openalex.org/W2100326009","https://openalex.org/W2105934661","https://openalex.org/W2109691518","https://openalex.org/W2122658541","https://openalex.org/W2123564153","https://openalex.org/W2130104355","https://openalex.org/W2136232998","https://openalex.org/W2152480638","https://openalex.org/W2153344006","https://openalex.org/W2160337655","https://openalex.org/W2160709761","https://openalex.org/W4256232447"],"related_works":["https://openalex.org/W4303857162","https://openalex.org/W4253883008","https://openalex.org/W4252024964","https://openalex.org/W3049691116","https://openalex.org/W2969189870","https://openalex.org/W2965643117","https://openalex.org/W2505726097","https://openalex.org/W2407375987","https://openalex.org/W2372267530","https://openalex.org/W2010643158"],"abstract_inverted_index":{"For":[0],"the":[1,11,14,18,42,53,64,111,114,151,154],"past":[2],"half":[3],"century":[4],"and":[5,17,108],"more,":[6],"Bayesian":[7,127],"methods":[8,46,54],"such":[9,75],"as":[10],"Wiener":[12],"filter,":[13,16],"Kalman":[15],"particle":[19],"filter":[20],"have":[21],"been":[22],"successfully":[23],"employed":[24],"to":[25,47,93,123],"incorporate":[26],"observational":[27],"information":[28,89,121],"into":[29],"sequential":[30,131],"estimates":[31],"of":[32,44,58,66,95,113,153],"a":[33,76,80,125],"time-varying":[34],"state.":[35,73],"However,":[36],"there":[37],"are":[38,105],"significant":[39],"difficulties":[40],"in":[41,79],"application":[43],"these":[45],"distributed,":[48],"potentially":[49],"non-engineered":[50],"systems.":[51],"First,":[52],"generally":[55],"require":[56],"knowledge":[57],"an":[59],"`observation":[60],"model'":[61],"which":[62],"specifies":[63],"likelihood":[65],"any":[67,71],"possible":[68,72],"observation":[69,103,141],"given":[70],"Specifying":[74],"model,":[77],"especially":[78],"distributed":[81,98],"system,":[82],"can":[83,91],"be":[84],"extremely":[85],"difficult.":[86],"Second,":[87],"local":[88,102,136,145],"dynamics":[90],"lead":[92],"differences":[94],"opinion":[96],"among":[97],"agents,":[99],"particularly":[100],"when":[101],"models":[104],"autonomously":[106],"generated":[107],"obscured":[109],"from":[110],"rest":[112],"system.":[115],"In":[116],"this":[117],"paper,":[118],"we":[119],"use":[120],"geometry":[122],"develop":[124],"decentralized":[126],"inference":[128],"mechanism":[129,156],"for":[130],"filtering":[132],"based":[133],"not":[134],"on":[135,144],"probability":[137],"distributions":[138],"or":[139],"known":[140],"models,":[142],"but":[143],"expert":[146],"state":[147],"estimates.":[148],"We":[149],"demonstrate":[150],"efficacy":[152],"proposed":[155],"through":[157],"simulation.":[158]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2024823404","counts_by_year":[],"updated_date":"2025-01-29T02:41:42.644960","created_date":"2016-06-24"}