{"id":"https://openalex.org/W2068262571","doi":"https://doi.org/10.1117/12.2030493","title":"Strong and weak stability of bipartite ranking algorithms","display_name":"Strong and weak stability of bipartite ranking algorithms","publication_year":2013,"publication_date":"2013-07-19","ids":{"openalex":"https://openalex.org/W2068262571","doi":"https://doi.org/10.1117/12.2030493","mag":"2068262571"},"language":"en","primary_location":{"id":"doi:10.1117/12.2030493","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030493","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5053672565","display_name":"Wei Gao","orcid":"https://orcid.org/0000-0001-7963-3502"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Gao","raw_affiliation_strings":["Soochow Univ. (China)","Soochow University (China)"],"affiliations":[{"raw_affiliation_string":"Soochow Univ. (China)","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"Soochow University (China)","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103086350","display_name":"Yungang Zhang","orcid":"https://orcid.org/0000-0002-8279-3109"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]},{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yungang Zhang","raw_affiliation_strings":["Univ. of Liverpool (United Kingdom)","Yunnan Normal Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Univ. of Liverpool (United Kingdom)","institution_ids":["https://openalex.org/I146655781"]},{"raw_affiliation_string":"Yunnan Normal Univ. (China)","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004375304","display_name":"Yun Gao","orcid":"https://orcid.org/0000-0002-2086-5218"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Gao","raw_affiliation_strings":["Yunnan Normal Univ. (China)","Yunnan Normal University China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal Univ. (China)","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"Yunnan Normal University China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012997346","display_name":"Li Liang","orcid":"https://orcid.org/0000-0002-3127-9599"},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Liang","raw_affiliation_strings":["Yunnan Normal Univ. (China)","Yunnan Normal University China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal Univ. (China)","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"Yunnan Normal University China","institution_ids":["https://openalex.org/I120825670"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109949689","display_name":"Youming Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I120825670","display_name":"Yunnan Normal University","ror":"https://ror.org/00sc9n023","country_code":"CN","type":"education","lineage":["https://openalex.org/I120825670"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youming Xia","raw_affiliation_strings":["Yunnan Normal Univ. (China)","Yunnan Normal University China"],"affiliations":[{"raw_affiliation_string":"Yunnan Normal Univ. (China)","institution_ids":["https://openalex.org/I120825670"]},{"raw_affiliation_string":"Yunnan Normal University China","institution_ids":["https://openalex.org/I120825670"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5053672565"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.7249,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.75281989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"8878","issue":null,"first_page":"88783W","last_page":"88783W"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12288","display_name":"Optimization and Search Problems","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12288","display_name":"Optimization and Search Problems","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9265000224113464,"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/ranking","display_name":"Ranking (information retrieval)","score":0.8787865042686462},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.7996098399162292},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.7631707191467285},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.7179797887802124},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6128361225128174},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.5299286246299744},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4720407724380493},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4715535640716553},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45307445526123047},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44648104906082153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40551427006721497},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37688514590263367},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3556134104728699},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.2984624207019806},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.052926063537597656}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8787865042686462},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.7996098399162292},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.7631707191467285},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.7179797887802124},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6128361225128174},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5299286246299744},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4720407724380493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4715535640716553},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45307445526123047},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44648104906082153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40551427006721497},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37688514590263367},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3556134104728699},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.2984624207019806},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.052926063537597656},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2030493","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2030493","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W2138488530","https://openalex.org/W4385565564","https://openalex.org/W2370100764","https://openalex.org/W2031468273","https://openalex.org/W2387658907","https://openalex.org/W2351112195","https://openalex.org/W2898073868","https://openalex.org/W2110822809","https://openalex.org/W2352397247"],"abstract_inverted_index":{"Ranking":[0],"is":[1,42,54,85,125],"an":[2,71],"important":[3],"problem":[4],"in":[5],"information":[6],"retrieval":[7],"and":[8,62,91,100,120],"other":[9],"applications,":[10],"a":[11,22,43,57,68],"good":[12,17],"ranking":[13,28,37,41,47,53,69,83,96,107],"algorithm":[14],"should":[15],"have":[16],"stability,":[18],"which":[19],"means":[20],"for":[21,70,94],"wild":[23],"change":[24,31],"of":[25,46,51,81,88,104],"samples,":[26],"the":[27,35,39,49,77,101,113],"function":[29,59],"doesn\u2019t":[30],"too":[32],"much.":[33],"Among":[34],"existent":[36],"algorithms,":[38],"bipartite":[40,52,82,95,106],"special":[44],"kind":[45],"method,":[48],"goal":[50],"to":[55],"learn":[56],"score":[58,123],"from":[60],"positive":[61],"negative":[63],"training":[64],"samples":[65],"that":[66],"induces":[67],"instance":[72],"space.":[73],"In":[74,111],"this":[75],"paper,":[76],"\u2018almost":[78],"everywhere\u2019":[79],"stability":[80,90,93,119,124],"algorithms":[84,97,108],"investigated,":[86],"notions":[87],"strong":[89,116,121],"weak":[92],"are":[98,109],"defined,":[99],"generalization":[102],"bounds":[103],"stable":[105],"obtained.":[110],"particular,":[112],"relationship":[114],"between":[115],"(weak)":[117,122],"loss":[118],"also":[126],"discussed.":[127]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}