{"id":"https://openalex.org/W4226327064","doi":"https://doi.org/10.1162/neco_a_01580","title":"Classification From Positive and Biased Negative Data With Skewed Labeled Posterior Probability","display_name":"Classification From Positive and Biased Negative Data With Skewed Labeled Posterior Probability","publication_year":2023,"publication_date":"2023-03-21","ids":{"openalex":"https://openalex.org/W4226327064","doi":"https://doi.org/10.1162/neco_a_01580","pmid":"https://pubmed.ncbi.nlm.nih.gov/36944241"},"language":"en","primary_location":{"id":"doi:10.1162/neco_a_01580","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1162/neco_a_01580","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102286048","display_name":"Shotaro Watanabe","orcid":null},"institutions":[{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shotaro Watanabe","raw_affiliation_strings":["Graduate School of Data Science, Shiga University, Shiga 522-8522, Japan s6021142@st.shiga-u.ac.jp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Data Science, Shiga University, Shiga 522-8522, Japan s6021142@st.shiga-u.ac.jp","institution_ids":["https://openalex.org/I171494771"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019815418","display_name":"Hidetoshi Matsui","orcid":"https://orcid.org/0000-0002-6286-5072"},"institutions":[{"id":"https://openalex.org/I171494771","display_name":"Shiga University","ror":"https://ror.org/01vvhy971","country_code":"JP","type":"education","lineage":["https://openalex.org/I171494771"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hidetoshi Matsui","raw_affiliation_strings":["Faculty of Data Science, Shiga University, Shiga 522-8522, Japan hmatsui@biwako.shiga-u.ac.jp"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Data Science, Shiga University, Shiga 522-8522, Japan hmatsui@biwako.shiga-u.ac.jp","institution_ids":["https://openalex.org/I171494771"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019815418","https://openalex.org/A5102286048"],"corresponding_institution_ids":["https://openalex.org/I171494771"],"apc_list":null,"apc_paid":null,"fwci":0.1586,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48220213,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"35","issue":"5","first_page":"977","last_page":"994"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.995199978351593,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.995199978351593,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.993399977684021,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9922999739646912,"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/posterior-probability","display_name":"Posterior probability","score":0.5814237594604492},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4072786271572113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40722429752349854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40502166748046875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39888107776641846},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3984347879886627},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.36682140827178955},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3515338897705078}],"concepts":[{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5814237594604492},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4072786271572113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40722429752349854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40502166748046875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39888107776641846},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3984347879886627},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.36682140827178955},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3515338897705078}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/neco_a_01580","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1162/neco_a_01580","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:36944241","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36944241","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3292420087","display_name":"Development of the analysis of longitudinal data  via functional data analysis","funder_award_id":"19K11858","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1479807131","https://openalex.org/W1502957213","https://openalex.org/W1516184288","https://openalex.org/W1825821140","https://openalex.org/W2064059887","https://openalex.org/W2132442585","https://openalex.org/W2310506832","https://openalex.org/W2559655401","https://openalex.org/W2602753196","https://openalex.org/W2604272474","https://openalex.org/W2612690371","https://openalex.org/W3159459365","https://openalex.org/W4212774754","https://openalex.org/W6677082149","https://openalex.org/W6678279555","https://openalex.org/W6682127699","https://openalex.org/W6691349973","https://openalex.org/W6729244039","https://openalex.org/W6734384760","https://openalex.org/W6754579393","https://openalex.org/W6758850689","https://openalex.org/W6764236959","https://openalex.org/W6767888642","https://openalex.org/W6773265864","https://openalex.org/W6779097789","https://openalex.org/W6840998423","https://openalex.org/W6907725443"],"related_works":["https://openalex.org/W1922851888","https://openalex.org/W2406961220","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2032094637","https://openalex.org/W2040227828","https://openalex.org/W2060045818","https://openalex.org/W2131935101","https://openalex.org/W856257623","https://openalex.org/W2892315154"],"abstract_inverted_index":{"The":[0],"binary":[1,46],"classification":[2,34,108],"problem":[3],"has":[4],"a":[5,23,38,45,59,68],"situation":[6],"where":[7],"only":[8],"biased":[9,31,55],"data":[10,50,53,81,94,122],"are":[11,82,95],"observed":[12,80],"in":[13],"one":[14],"of":[15,88,105,114],"the":[16,28,63,75,79,86,89,93,101,106,112,115],"classes.":[17],"In":[18],"this":[19],"letter,":[20],"we":[21],"propose":[22],"new":[24],"method":[25,42,60,117],"to":[26,43,61,67],"approach":[27],"positive":[29,49],"and":[30,51,120],"negative":[32,52,64],"(PbN)":[33],"problem,":[35],"which":[36,71,97],"is":[37,72,98],"weakly":[39],"supervised":[40],"learning":[41],"learn":[44],"classifier":[47],"from":[48],"with":[54],"observations.":[56],"We":[57,110],"incorporate":[58],"correct":[62],"influence":[65],"due":[66],"skewed":[69],"confidence,":[70],"represented":[73],"by":[74,118],"posterior":[76,90],"probability":[77,91],"that":[78,92],"positive.":[83],"This":[84],"reduces":[85],"distortion":[87],"labeled,":[96],"necessary":[99],"for":[100],"empirical":[102],"risk":[103],"minimization":[104],"PbN":[107],"problem.":[109],"verified":[111],"effectiveness":[113],"proposed":[116],"synthetic":[119],"benchmark":[121],"experiments.":[123]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
