{"id":"https://openalex.org/W2065723730","doi":"https://doi.org/10.1145/1871437.1871715","title":"Learning na\u00efve bayes transfer classifier throughclass-wise test distribution estimation","display_name":"Learning na\u00efve bayes transfer classifier throughclass-wise test distribution estimation","publication_year":2010,"publication_date":"2010-10-26","ids":{"openalex":"https://openalex.org/W2065723730","doi":"https://doi.org/10.1145/1871437.1871715","mag":"2065723730"},"language":"en","primary_location":{"id":"doi:10.1145/1871437.1871715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"},"type":"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/A5101891790","display_name":"Jeong-Woo Son","orcid":"https://orcid.org/0000-0003-2592-3875"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jeong-Woo Son","raw_affiliation_strings":["Kyungpook National University, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047104895","display_name":"Seong-Bae Park","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Bae Park","raw_affiliation_strings":["Kyungpook National University, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032098636","display_name":"Hyun-Je Song","orcid":"https://orcid.org/0000-0002-9109-2611"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun-Je Song","raw_affiliation_strings":["Kyungpook National University, Daegu, South Korea"],"affiliations":[{"raw_affiliation_string":"Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101891790"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.11520742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1729","last_page":"1732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9991999864578247,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9991999864578247,"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":0.9846000075340271,"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":0.9833999872207642,"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/computer-science","display_name":"Computer science","score":0.7069923877716064},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6548458337783813},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6516711711883545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.633475124835968},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.5970146656036377},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.5867908596992493},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5722797513008118},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4873293340206146},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.46414414048194885},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.44693148136138916},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.4340217709541321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3836902379989624},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1386452615261078}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7069923877716064},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6548458337783813},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6516711711883545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.633475124835968},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.5970146656036377},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5867908596992493},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5722797513008118},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4873293340206146},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.46414414048194885},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.44693148136138916},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.4340217709541321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3836902379989624},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1386452615261078},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871437.1871715","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871715","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2034368206","https://openalex.org/W2097089247","https://openalex.org/W2103851188","https://openalex.org/W2115191221"],"related_works":["https://openalex.org/W2374047926","https://openalex.org/W2394466068","https://openalex.org/W2381401419","https://openalex.org/W2383501440","https://openalex.org/W4312866165","https://openalex.org/W2957157835","https://openalex.org/W145653800","https://openalex.org/W83434975","https://openalex.org/W2393473353","https://openalex.org/W2606238806"],"abstract_inverted_index":{"Text":[0],"classification":[1,77],"is":[2,13,19,37,44],"a":[3,16,32,41,70],"well-known":[4],"problem":[5],"for":[6,26,39,75],"various":[7],"applications.":[8],"For":[9],"last":[10],"decades,":[11],"it":[12,43],"beleived":[14],"that":[15],"large":[17],"corpus":[18],"one":[20],"of":[21,35,55,110,133,138],"the":[22,53,99,108,113,118,126,131],"most":[23],"important":[24],"aspects":[25],"better":[27],"classification.":[28],"However,":[29],"even":[30],"though":[31],"great":[33],"number":[34],"documents":[36,59,95,119],"available":[38],"training":[40,82],"classifier,":[42],"practically":[45],"impossible":[46],"to":[47,96],"achieve":[48],"an":[49],"ideal":[50],"performance,":[51],"since":[52],"distributions":[54],"labeled":[56,94,111],"and":[57,83,120],"unlabeled":[58],"are":[60],"often":[61],"different.":[62],"To":[63],"overcome":[64],"this":[65,67],"problem,":[66],"paper":[68],"describes":[69],"novel":[71],"Na\u00efve":[72],"Bayes":[73],"classifier":[74],"text":[76],"under":[78],"distribution":[79,91,100],"difference":[80],"between":[81],"test":[84,90],"data.":[85],"The":[86],"proposed":[87,114,127],"method":[88,115,128],"approximates":[89],"by":[92],"weighting":[93],"cope":[97],"with":[98,136],"difference.":[101],"Unlike":[102],"other":[103],"transfer":[104,139],"learning":[105,135],"which":[106],"estimates":[107],"weights":[109],"documents,":[112],"considerd":[116],"both":[117],"their":[121],"estimated":[122],"class":[123],"labels.":[124],"Therefore,":[125],"naturally":[129],"combines":[130],"advantage":[132],"semi-supervised":[134],"those":[137],"learning.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}