{"id":"https://openalex.org/W2000736993","doi":"https://doi.org/10.1145/1242572.1242741","title":"Efficient training on biased minimax probability machine for imbalanced text classification","display_name":"Efficient training on biased minimax probability machine for imbalanced text classification","publication_year":2007,"publication_date":"2007-05-08","ids":{"openalex":"https://openalex.org/W2000736993","doi":"https://doi.org/10.1145/1242572.1242741","mag":"2000736993"},"language":"en","primary_location":{"id":"doi:10.1145/1242572.1242741","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1242572.1242741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th international conference on World Wide Web","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/A5100692220","display_name":"Xiang Peng","orcid":"https://orcid.org/0000-0002-5754-0521"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Peng","raw_affiliation_strings":["Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042251906","display_name":"Irwin King","orcid":"https://orcid.org/0000-0001-8106-6447"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Irwin King","raw_affiliation_strings":["Chinese University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Chinese University of Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100692220"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":0.9387,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.80873448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1153","last_page":"1154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991000294685364,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9991000294685364,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9979000091552734,"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/minimax","display_name":"Minimax","score":0.7797847986221313},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.758117139339447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6511402130126953},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6430066823959351},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6373835206031799},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4521489441394806},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.43979620933532715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1393526792526245},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.12114626169204712}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.7797847986221313},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.758117139339447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6511402130126953},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6430066823959351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6373835206031799},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4521489441394806},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.43979620933532715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1393526792526245},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.12114626169204712},{"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":[{"id":"doi:10.1145/1242572.1242741","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1242572.1242741","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th international conference on World Wide Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322942","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1993202648","https://openalex.org/W2119320253","https://openalex.org/W3012537113"],"related_works":["https://openalex.org/W2981877337","https://openalex.org/W3203938600","https://openalex.org/W2169074127","https://openalex.org/W83146503","https://openalex.org/W2163707935","https://openalex.org/W202723009","https://openalex.org/W2145955964","https://openalex.org/W2188612292","https://openalex.org/W4206462905","https://openalex.org/W2165396616"],"abstract_inverted_index":{"The":[0],"Biased":[1],"Minimax":[2],"Probability":[3],"Machine":[4],"(BMPM)":[5],"constructs":[6],"a":[7,21],"classifier":[8],"which":[9],"deals":[10],"with":[11,69],"the":[12,31,35,39,45,55,59,64],"imbalanced":[13,90],"learning":[14,65],"tasks.":[15],"In":[16],"this":[17],"paper,":[18],"we":[19],"propose":[20],"Second":[22],"Order":[23],"Cone":[24],"Programming":[25],"(SOCP)":[26],"based":[27],"algorithm":[28],"to":[29,88],"train":[30],"model.":[32],"We":[33,62],"outline":[34],"theoretical":[36],"derivatives":[37],"of":[38],"biased":[40],"classification":[41,47,92],"model,":[42],"and":[43,86],"address":[44],"text":[46,91],"tasks":[48],"where":[49],"negative":[50],"training":[51],"documents":[52],"significantly":[53],"outnumber":[54],"positive":[56],"ones":[57],"using":[58],"proposed":[60],"strategy.":[61],"evaluated":[63],"scheme":[66],"in":[67],"comparison":[68],"traditional":[70],"solutions":[71],"on":[72],"three":[73],"different":[74],"datasets.":[75],"Empirical":[76],"results":[77],"have":[78],"shown":[79],"that":[80],"our":[81],"method":[82],"is":[83],"more":[84],"effective":[85],"robust":[87],"handle":[89],"problems.":[93]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
