{"id":"https://openalex.org/W3171106320","doi":"https://doi.org/10.5555/1577069.1577094","title":"On Efficient Large Margin Semisupervised Learning: Method and Theory","display_name":"On Efficient Large Margin Semisupervised Learning: Method and Theory","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W3171106320","doi":"https://doi.org/10.5555/1577069.1577094","mag":"3171106320"},"language":"en","primary_location":{"id":"mag:3171106320","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1577069.1577094","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Machine Learning Research","raw_type":null},"type":"article","indexed_in":[],"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/A5056185916","display_name":"WangJunhui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"WangJunhui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072005660","display_name":"ShenXiaotong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"ShenXiaotong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043980537","display_name":"PANWei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"PANWei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2932,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84164577,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.664900004863739,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.664900004863739,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/margin","display_name":"Margin (machine learning)","score":0.8273311853408813},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6627695560455322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203750371932983},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.5481791496276855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48101717233657837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4218232333660126}],"concepts":[{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.8273311853408813},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6627695560455322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203750371932983},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.5481791496276855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48101717233657837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4218232333660126}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:3171106320","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.5555/1577069.1577094","pdf_url":null,"source":{"id":"https://openalex.org/S118988714","display_name":"Journal of Machine Learning Research","issn_l":"1532-4435","issn":["1532-4435","1533-7928"],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":"Journal of Machine Learning Research","raw_type":null}],"best_oa_location":null,"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/W1483160840","https://openalex.org/W3101567120","https://openalex.org/W2905852111","https://openalex.org/W3002506819","https://openalex.org/W2600061660","https://openalex.org/W3132650353","https://openalex.org/W3156064686","https://openalex.org/W1606774037","https://openalex.org/W3194692811","https://openalex.org/W95440263","https://openalex.org/W2779077044","https://openalex.org/W2154455818","https://openalex.org/W2963442201","https://openalex.org/W2083061393","https://openalex.org/W2051863572","https://openalex.org/W2080431242","https://openalex.org/W2921006195","https://openalex.org/W2186210338","https://openalex.org/W1497443639","https://openalex.org/W2954103759"],"abstract_inverted_index":{"In":[0],"classification,":[1],"semisupervised":[2],"learning":[3],"usually":[4],"involves":[5],"a":[6,14,22],"large":[7],"amount":[8],"of":[9,17],"unlabeled":[10],"data":[11],"with":[12],"only":[13],"small":[15],"number":[16],"labeled":[18],"data.":[19],"This":[20],"imposes":[21],"great":[23],"challenge":[24],"in":[25],"that":[26],"it":[27],"is":[28],"difficult":[29],"to":[30],"achi...":[31]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2025-10-10T00:00:00"}