{"id":"https://openalex.org/W3126774942","doi":"https://doi.org/10.5220/0010266509410946","title":"Pairwise Cosine Similarity of Emission Probability Matrix as an Indicator of Prediction Accuracy of the Viterbi Algorithm","display_name":"Pairwise Cosine Similarity of Emission Probability Matrix as an Indicator of Prediction Accuracy of the Viterbi Algorithm","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3126774942","doi":"https://doi.org/10.5220/0010266509410946","mag":"3126774942"},"language":"en","primary_location":{"id":"doi:10.5220/0010266509410946","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010266509410946","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0010266509410946","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078291895","display_name":"Guantao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guantao Zhao","raw_affiliation_strings":["The George Washington University, Washington, DC 20052, U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University, Washington, DC 20052, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051329000","display_name":"Ziqiu Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziqiu Zhu","raw_affiliation_strings":["The George Washington University, Washington, DC 20052, U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University, Washington, DC 20052, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101531594","display_name":"Yinan Sun","orcid":"https://orcid.org/0000-0001-5426-427X"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinan Sun","raw_affiliation_strings":["The George Washington University, Washington, DC 20052, U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University, Washington, DC 20052, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111907236","display_name":"Amrinder Arora","orcid":null},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amrinder Arora","raw_affiliation_strings":["The George Washington University, Washington, DC 20052, U.S.A., --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The George Washington University, Washington, DC 20052, U.S.A., --- Select a Country ---","institution_ids":["https://openalex.org/I193531525"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193531525"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01548404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"941","last_page":"946"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13858","display_name":"Technical Engine Diagnostics and Monitoring","score":0.7275000214576721,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T13858","display_name":"Technical Engine Diagnostics and Monitoring","score":0.7275000214576721,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T13732","display_name":"Aerospace, Electronics, Mathematical Modeling","score":0.6417999863624573,"subfield":{"id":"https://openalex.org/subfields/2309","display_name":"Nature and Landscape Conservation"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13181","display_name":"Economic and Technological Systems Analysis","score":0.6291999816894531,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.780215859413147},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.7457907199859619},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.6319295167922974},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6104870438575745},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.60976243019104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6025547981262207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45797181129455566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44710806012153625},{"id":"https://openalex.org/keywords/soft-output-viterbi-algorithm","display_name":"Soft output Viterbi algorithm","score":0.4362732470035553},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.07860496640205383}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.780215859413147},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.7457907199859619},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.6319295167922974},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6104870438575745},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60976243019104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6025547981262207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45797181129455566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44710806012153625},{"id":"https://openalex.org/C130319729","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Soft output Viterbi algorithm","level":5,"score":0.4362732470035553},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.07860496640205383},{"id":"https://openalex.org/C193969084","wikidata":"https://www.wikidata.org/wiki/Q7452500","display_name":"Sequential decoding","level":4,"score":0.0},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0010266509410946","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010266509410946","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0010266509410946","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0010266509410946","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Agents and Artificial Intelligence","raw_type":"proceedings-article"},"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/W2062804535","https://openalex.org/W2993094530","https://openalex.org/W2143297499","https://openalex.org/W2386939465","https://openalex.org/W2767243160","https://openalex.org/W2073817053","https://openalex.org/W2375267049","https://openalex.org/W2362548494","https://openalex.org/W1879414379","https://openalex.org/W2099620359"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}