{"id":"https://openalex.org/W2029311004","doi":"https://doi.org/10.4304/jsw.7.6.1307-1314","title":"Confidence Estimation for Graph-based Semi-supervised Learning","display_name":"Confidence Estimation for Graph-based Semi-supervised Learning","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2029311004","doi":"https://doi.org/10.4304/jsw.7.6.1307-1314","mag":"2029311004"},"language":"en","primary_location":{"id":"doi:10.4304/jsw.7.6.1307-1314","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.7.6.1307-1314","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-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/A5074849064","display_name":"Tao Guo","orcid":"https://orcid.org/0000-0001-5958-3560"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tao Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101439176","display_name":"Guiyang Li","orcid":"https://orcid.org/0009-0009-5685-501X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guiyang Li","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":0.4349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.72031981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9829999804496765,"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":0.9829999804496765,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9128000140190125,"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":0.9081000089645386,"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":0.9001661539077759},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.511151134967804},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5111232399940491},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5081450939178467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45284807682037354},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.12763497233390808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9001661539077759},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.511151134967804},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5111232399940491},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5081450939178467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45284807682037354},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.12763497233390808},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4304/jsw.7.6.1307-1314","is_oa":false,"landing_page_url":"https://doi.org/10.4304/jsw.7.6.1307-1314","pdf_url":null,"source":{"id":"https://openalex.org/S114141714","display_name":"Journal of Software","issn_l":"1796-217X","issn":["1796-217X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318660","host_organization_name":"Academy Publisher","host_organization_lineage":["https://openalex.org/P4310318660"],"host_organization_lineage_names":["Academy Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Software","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1487934831","https://openalex.org/W1497443639","https://openalex.org/W1561444602","https://openalex.org/W1594145284","https://openalex.org/W2048679005","https://openalex.org/W2133556223","https://openalex.org/W2136504847","https://openalex.org/W2139823104","https://openalex.org/W2145376937","https://openalex.org/W2153149612","https://openalex.org/W2154455818","https://openalex.org/W2378170330","https://openalex.org/W2560674852","https://openalex.org/W6629097692","https://openalex.org/W7018166986"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3107602296","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"To":[0],"select":[1],"unlabeled":[2,40,51,58,77],"example":[3,41,52,59],"effectively":[4,75],"and":[5],"reduce":[6],"classification":[7,37],"error,":[8],"confidence":[9,49],"estimation":[10],"for":[11],"graph-based":[12,21],"semi-supervised":[13,22],"learning":[14,23,82],"\uff08CEGSL\uff09":[15],"is":[16,60],"proposed.":[17],"This":[18],"algorithm":[19,46],"combines":[20],"with":[24],"collaboration-training.":[25],"It":[26],"makes":[27],"use":[28],"of":[29,32,39,50],"structure":[30],"information":[31],"sample":[33],"to":[34,62,79],"calculate":[35],"the":[36,45,48,57,81],"probability":[38],"explicitly.":[42],"With":[43,54],"multi-classifiers,":[44],"computes":[47],"implicitly.":[53],"dual-confidence":[55],"estimation,":[56],"selected":[61],"update":[63],"classifiers.":[64],"The":[65],"comparative":[66],"experiments":[67],"on":[68],"UCI":[69],"datasets":[70],"indicate":[71],"that":[72],"CEGSL":[73],"can":[74],"exploit":[76],"data":[78],"enhance":[80],"performance.":[83]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}