{"id":"https://openalex.org/W2115855271","doi":"https://doi.org/10.1109/iccd.2002.1106799","title":"Modeling switching activity using cascaded Bayesian networks for correlated input streams","display_name":"Modeling switching activity using cascaded Bayesian networks for correlated input streams","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2115855271","doi":"https://doi.org/10.1109/iccd.2002.1106799","mag":"2115855271"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2002.1106799","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/A5027962442","display_name":"Sanjukta Bhanja","orcid":"https://orcid.org/0000-0002-3876-3578"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Bhanja","raw_affiliation_strings":["Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027665366","display_name":"N. Ranganathan","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"N. Ranganathan","raw_affiliation_strings":["Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA"],"affiliations":[{"raw_affiliation_string":"Dept of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.457,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":6,"citation_normalized_percentile":{"value":0.424305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":77},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12423","display_name":"Software Reliability and Analysis Research","score":0.998,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T12423","display_name":"Software Reliability and Analysis Research","score":0.998,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.9979,"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/T10142","display_name":"Formal Methods in Verification","score":0.9935,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/graphical-model","display_name":"Graphical model","score":0.50316113},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.49696735}],"concepts":[{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.7067238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.57251716},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.55199754},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.50979203},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.50316113},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.49696735},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4543835},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41173348},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3529169},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3209697},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14101574},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccd.2002.1106799","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":6,"referenced_works":["https://openalex.org/W2020640915","https://openalex.org/W2137917061","https://openalex.org/W2138689074","https://openalex.org/W2163166770","https://openalex.org/W2165874791","https://openalex.org/W3141297747"],"related_works":["https://openalex.org/W643788828","https://openalex.org/W4286900141","https://openalex.org/W4200510307","https://openalex.org/W3183113072","https://openalex.org/W2484652232","https://openalex.org/W2187019487","https://openalex.org/W2158940596","https://openalex.org/W2126934800","https://openalex.org/W1734881440","https://openalex.org/W1715419791"],"abstract_inverted_index":{"We":[0,18],"represent":[1],"switching":[2,60,130],"activity":[3],"in":[4,27,126],"VLSI":[5],"circuits":[6,136],"using":[7,38,87,95],"a":[8,39,72,88,109],"graphical":[9],"probabilistic":[10,25],"model":[11,115],"based":[12,112],"on":[13],"cascaded":[14],"Bayesian":[15,68,127],"networks":[16],"(CBNs).":[17],"develop":[19,108],"an":[20,50],"elegant":[21],"method":[22,113],"for":[23,124,134],"maintaining":[24],"consistency":[26],"the":[28,32,35,53,59,63,66,78,118,141,144],"interfacing":[29],"boundaries":[30],"across":[31],"CBNs":[33],"during":[34],"inference":[36],"process":[37],"tree-dependent":[40,46],"(TD)":[41,47],"probability":[42,56,81],"distribution":[43,48,111],"function.":[44],"A":[45],"is":[49,71,122],"approximation":[51,76],"of":[52,77,129,143],"true":[54,79],"joint":[55,80],"function":[57,82],"over":[58],"variables,":[61],"with":[62],"constraint":[64],"that":[65],"underlying":[67],"network":[69],"representation":[70],"tree.":[73],"The":[74],"tree":[75,92],"can":[83],"be":[84],"arrived":[85],"at":[86,101],"maximum":[89],"weight":[90],"spanning":[91],"(MWST)":[93],"built":[94],"pairwise":[96],"mutual":[97],"information":[98],"between":[99],"switchings":[100],"two":[102],"signal":[103],"lines.":[104],"Further":[105],"we":[106],"also":[107],"TD":[110],"to":[114,139],"correlations":[116],"among":[117],"primary":[119],"inputs":[120],"which":[121],"critical":[123],"accuracy":[125],"modeling":[128],"activity.":[131],"Experimental":[132],"results":[133],"ISCAS":[135],"are":[137],"presented":[138],"illustrate":[140],"efficacy":[142],"proposed":[145],"methods.":[146]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2115855271","counts_by_year":[],"updated_date":"2024-12-06T07:00:42.250677","created_date":"2016-06-24"}