{"id":"https://openalex.org/W3000314184","doi":"https://doi.org/10.5555/2627435.2627436","title":"Bridging Viterbi and posterior decoding","display_name":"Bridging Viterbi and posterior decoding","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W3000314184","doi":"https://doi.org/10.5555/2627435.2627436","mag":"3000314184"},"language":"en","primary_location":{"id":"mag:3000314184","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/abs/10.5555/2627435.2627436","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null},"type":"article","indexed_in":[],"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/A5034432606","display_name":"LemberJ\u00fcri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"LemberJ\u00fcri","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5077841165","display_name":"A KoloydenkoAlexey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A KoloydenkoAlexey","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31103487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9584000110626221,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9584000110626221,"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/bridging","display_name":"Bridging (networking)","score":0.7529594898223877},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6415866017341614},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.6223905086517334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6192086338996887},{"id":"https://openalex.org/keywords/viterbi-decoder","display_name":"Viterbi decoder","score":0.5307295918464661},{"id":"https://openalex.org/keywords/soft-output-viterbi-algorithm","display_name":"Soft output Viterbi algorithm","score":0.4752518832683563},{"id":"https://openalex.org/keywords/iterative-viterbi-decoding","display_name":"Iterative Viterbi decoding","score":0.4154684841632843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40963056683540344},{"id":"https://openalex.org/keywords/sequential-decoding","display_name":"Sequential decoding","score":0.3662514388561249},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32650336623191833},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09240591526031494}],"concepts":[{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.7529594898223877},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6415866017341614},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.6223905086517334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6192086338996887},{"id":"https://openalex.org/C117379686","wikidata":"https://www.wikidata.org/wiki/Q6996459","display_name":"Viterbi decoder","level":3,"score":0.5307295918464661},{"id":"https://openalex.org/C130319729","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Soft output Viterbi algorithm","level":5,"score":0.4752518832683563},{"id":"https://openalex.org/C113638808","wikidata":"https://www.wikidata.org/wiki/Q6094410","display_name":"Iterative Viterbi decoding","level":5,"score":0.4154684841632843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40963056683540344},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.3662514388561249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32650336623191833},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09240591526031494},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3000314184","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/abs/10.5555/2627435.2627436","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2128889245","https://openalex.org/W1923397648","https://openalex.org/W2891913978","https://openalex.org/W2073817053","https://openalex.org/W2153713034","https://openalex.org/W2767243160","https://openalex.org/W2124697778","https://openalex.org/W2119350780","https://openalex.org/W2121051850","https://openalex.org/W2158678657","https://openalex.org/W1561866930","https://openalex.org/W2141619954","https://openalex.org/W2135061698","https://openalex.org/W2129007383","https://openalex.org/W2777144131","https://openalex.org/W1771836513","https://openalex.org/W2107066084","https://openalex.org/W2019689624","https://openalex.org/W2169335080","https://openalex.org/W1803833377"],"abstract_inverted_index":{"Motivated":[0],"by":[1],"the":[2,25],"unceasing":[3],"interest":[4],"in":[5,16],"hidden":[6,13],"Markov":[7],"models":[8],"(HMMs),":[9],"this":[10],"paper":[11],"reexamines":[12],"path":[14],"inference":[15],"these":[17],"models,":[18],"using":[19],"primarily":[20],"a":[21],"risk-based":[22],"framework.":[23],"While":[24],"most":[26],"common":[27],"maximu...":[28]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}